from collections import defaultdict, deque
import sys

input = sys.stdin.readline
def iinput(): return int(input())
def sinput(): return input().rstrip()
def i0input(): return int(input()) - 1
def linput(): return list(input().split())
def liinput(): return list(map(int, input().split()))
def miinput(): return map(int, input().split())
def li0input(): return list(map(lambda x: int(x) - 1, input().split()))
def mi0input(): return map(lambda x: int(x) - 1, input().split())
INF = 10**20
MOD = 1000000007
from random import random, seed
seed(101010)

class UnionFindTree:
    def __init__(self, initial_size:int) -> None:
        self.n_nodes = initial_size
        self.parents = [i for i in range(initial_size)]
        self.ranks = [0 for i in range(initial_size)]
        self.size = [1 for i in range(initial_size)]
        self.n_roots = initial_size
    def root(self, n:int) -> int:
        if self.parents[n] == n:
            return n
        else:
            self.parents[n] = self.root(self.parents[n])
            return self.parents[n]
    def same(self, n:int, m:int) -> bool:
        return (self.root(n) == self.root(m))
    def unite(self, n:int, m:int) -> None:
        if self.same(n, m):
            return
        self.n_roots -= 1
        n, m = self.root(n), self.root(m)
        if self.ranks[n] < self.ranks[m]:
            self.parents[n] = m
            self.size[m] += self.size[n]
        else:
            self.parents[m] = n
            self.size[n] += self.size[m]
            if self.ranks[n] == self.ranks[m]:
                self.ranks[n] += 1
    def get_roots(self) -> set:
        return set([self.root(x) for x in range(self.n_nodes)])
    def count_roots(self) -> int:
        return self.n_roots
    def get_tree_size(self, n:int) -> int:
        return self.size[self.root(n)]

def random_direction(p):
    for i in range(3):
        p[i+1] += p[i]
    r = random()
    for i in range(4):
        if p[i] > r:
            return i

H, W, p = liinput()
# URDL
probability = [[[0.50] * W for _ in [0] * H], [[0.50] * W for _ in [0] * H], [[0.50] * W for _ in [0] * H], [[0.50] * W for _ in [0] * H]]
p /= 100
direction_inv = {'U': 0, 'R': 1, 'D': 2, 'L': 3}
direction = 'URDL'
direction_coord = [(-1, 0), (0, 1), (1, 0), (0, -1)]
uf = UnionFindTree(H * W)

for i in range(W):
    probability[0][0][i] = 0
    probability[2][-1][i] = 0

for i in range(H):
    probability[1][i][-1] = 0
    probability[3][i][0] = 0

for _ in [0] * 1000:
    place = [0, 0]
    res = []
    seen = [[False] * W for _ in [0] * H]
    seen[0][0] = True
    for _ in [0] * 400:
        prob_tmp = []
        for i in range(4):
            try:
                dr, dc = direction_coord[i]
                nx = place[0] + dr
                ny = place[1] + dc
                if nx < 0 or nx >= H or ny < 0 or ny >= W or seen[nx][ny]:
                    prob_tmp.append(0)
                else:
                    prob_tmp.append(probability[i][place[0]][place[1]])
            except IndexError:
                print('IndexError', place)
        sum_prob = sum(prob_tmp)
        if sum_prob == 0:
            prob_tmp = []
            for i in range(4):
                try:
                    prob_tmp.append(probability[i][place[0]][place[1]])
                except IndexError:
                    print('IndexError', place)
            sum_prob = sum(prob_tmp)
        for i in range(4):
            prob_tmp[i] /= sum_prob
        d = random_direction(prob_tmp)
        dr, dc = direction_coord[d]
        place[0] += dr
        place[1] += dc
        seen[place[0]][place[1]] = True
        res.append(direction[d])
    print(''.join(res), flush=True)
    thr = iinput()
    if thr == -1:
        exit()
    place = [0, 0]
    for i in range(thr):
        d = direction_inv[res[i]]
        probability[d][place[0]][place[1]] = 1
        dr, dc = direction_coord[d]
        uf.unite(place[0] * W + place[1], (place[0] + dr) * W + place[1] + dc)
        place[0] += dr
        place[1] += dc
        probability[(d+2)%4][place[0]][place[1]] = 1
    if len(res) > thr:
        d = direction_inv[res[thr]]
        q = probability[d][place[0]][place[1]]
        if q < 1:
            new_p = (p * q) / (p * q + 1 - q)
            probability[d][place[0]][place[1]] = new_p
            dr, dc = direction_coord[d]
            place[0] += dr
            place[1] += dc
            probability[(d+2)%4][place[0]][place[1]] = new_p
    if uf.same(0, H*W-1):
        seen = [[None] * W for _ in [0] * H]
        seen[0][0] = ''
        que = deque()
        que.append((0, 0))
        while que:
            x, y = que.popleft()
            for i in range(4):
                dx, dy = direction_coord[i]
                nx = x + dx
                ny = y + dy
                if nx < 0 or nx >= H or ny < 0 or ny >= W or not uf.same(x * W + y, nx * W + ny):
                    continue
                if seen[nx][ny] is not None:
                    continue
                seen[nx][ny] = seen[x][y] + direction[i]
                que.append((nx, ny))
                if nx == H-1 and ny == W-1:
                    print(seen[nx][ny], flush=True)
                    g = iinput()
                    if g == -1:
                        exit()
    for pp in probability:
        for ppp in pp:
            print(ppp)
        print()