Problem: Gildong was hiking a mountain, walking by millions of trees. Inspired by them, he suddenly came up with an interesting idea for trees in data structures: What if we add another edge in a tree?
Then he found that such tree-like graphs are called 1-trees. Since Gildong was bored of solving too many tree problems, he wanted to see if similar techniques in trees can be used in 1-trees as well. Instead of solving it by himself, he's going to test you by providing queries on 1-trees.
First, he'll provide you a tree (not 1-tree) with vertices, then he will ask you queries. Each query contains integers: , , , , and . This means you're asked to determine if there exists a path from vertex to that contains exactly edges after adding a bidirectional edge between vertices and . A path can contain the same vertices and same edges multiple times. All queries are independent of each other; i.e. the added edge in a query is removed in the next query.
Input Format: The first line contains an integer (), the number of vertices of the tree.
Next lines contain two integers and (, ) each, which means there is an edge between vertex and . All edges are bidirectional and distinct.
Next line contains an integer (), the number of queries Gildong wants to ask.
Next lines contain five integers , , , , and each (, , ) – the integers explained in the description. It is guaranteed that the edge between and does not exist in the original tree.
Output Format: For each query, print "YES" if there exists a path that contains exactly edges from vertex to after adding an edge between vertices and . Otherwise, print "NO".
You can print each letter in any case (upper or lower).
Note: The image below describes the tree (circles and solid lines) and the added edges for each query (dotted lines).
Possible paths for the queries with "YES" answers are:
- -st query: – –
- -nd query: – –
- -th query: – – – – – – – – –