from collections import defaultdict
from heapq import heappop, heappush

def getlist():
    return list(map(int, input().split()))

class UnionFind:
    def __init__(self, n):
        self.par = [i for i in range(n + 1)]
        self.rank = [0] * (n + 1)
        self.size = [1] * (n + 1)

    def find(self, x):
        if self.par[x] == x:
            return x
        else:
            self.par[x] = self.find(self.par[x])
            return self.par[x]

    def same_check(self, x, y):
        return self.find(x) == self.find(y)

    def union(self, x, y):
        x = self.find(x)
        y = self.find(y)
        if self.rank[x] < self.rank[y]:
            if self.same_check(x, y) != True:
                self.size[y] += self.size[x]
                self.size[x] = 0
            self.par[x] = y
        else:
            if self.same_check(x, y) != True:
               self.size[x] += self.size[y]
               self.size[y] = 0
            self.par[y] = x
            if self.rank[x] == self.rank[y]:
               self.rank[x] += 1

    def siz(self, x):
        x = self.find(x)
        return self.size[x]

class Graph(object):

    def __init__(self):
        self.graph = defaultdict(list)

    def __len__(self):
        return len(self.graph)

    def add_edge(self, a, b):
        self.graph[a].append(b)

    def get_nodes(self):
        return self.graph.keys()


class breadth(object):
    def __init__(self, graph, s, n):
        self.g = graph.graph
        self.dist = defaultdict(lambda: float('inf'))
        self.dist[s] = 0
        self.visit = ["no" for i in range(n + 1)]
        self.visit[s] = "yes"
        self.prev = defaultdict(lambda: None)

        self.Q = []
        heappush(self.Q, (self.dist[s], s))

        while self.Q:
            dist_u, u = heappop(self.Q)
            for v in self.g[u]:
                if self.visit[v] == "yes":
                    continue
                else:
                    self.dist[v] = dist_u + 1
                    self.prev[v] = u
                    self.visit[v] = "yes"
                    heappush(self.Q, (self.dist[v], v))

    def s_d(self, goal):
        return self.dist[goal]

    def s_p(self, goal):
        path = []
        node = goal
        while node is not None:
            path.append(node)
            node = self.prev[node]
        return path[::-1]

N, M = getlist()
uf = UnionFind(N)
g_a = Graph()
for i in range(M):
    p, q = list(map(int, input().split()))
    uf.union(p, q)
    g_a.add_edge(p, q)
    g_a.add_edge(q, p)

Q = int(input())
for i in range(Q):
    A = int(input())
    E = breadth(g_a, A, N)
    x = -1
    for i in E.dist:
        if uf.same_check(A, i) == True:
            if E.dist[i] > x:
                x = E.dist[i]
    if x == 1:
        print(uf.siz(A) - 1, 0)
    else:
        print(uf.siz(A) - 1, int((x + 1) // 2))