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)

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 = [[[0.75] * W for _ in [0] * H] for _ in [0] * 4]
p /= 100
direction_inv = {'U': 0, 'R': 1, 'D': 2, 'L': 3}
direction = 'URDL'
direction_coord = [(-1, 0), (0, 1), (1, 0), (0, -1)]

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 = []
    for _ in [0] * 400:
        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
        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]
        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