Задача . I. Imitating the Key Tree

Pak Chanek has a tree called the key tree. This tree consists of \(N\) vertices and \(N-1\) edges. The edges of the tree are numbered from \(1\) to \(N-1\) with edge \(i\) connecting vertices \(U_i\) and \(V_i\). Initially, each edge of the key tree does not have a weight.

Formally, a path with length \(k\) in a graph is a sequence \([v_1, e_1, v_2, e_2, v_3, e_3, \ldots, v_k, e_k, v_{k+1}]\) such that:

• For each \(i\), \(v_i\) is a vertex and \(e_i\) is an edge.
• For each \(i\), \(e_i\) connects vertices \(v_i\) and \(v_{i+1}\).

A circuit is a path that starts and ends on the same vertex.

A path in a graph is said to be simple if and only if the path does not use the same edge more than once. Note that a simple path can use the same vertex more than once.

The cost of a simple path in a weighted graph is defined as the maximum weight of all edges it traverses.

Count the number of distinct undirected weighted graphs that satisfy the following conditions:

• The graph has \(N\) vertices and \(2N-2\) edges.
• For each pair of different vertices \((x, y)\), there exists a simple circuit that goes through vertices \(x\) and \(y\) in the graph.
• The weight of each edge in the graph is an integer between \(1\) and \(2N-2\) inclusive. Each edge has distinct weights.
• The graph is formed in a way such that there is a way to assign a weight \(W_i\) to each edge \(i\) in the key tree that satisfies the following conditions:
  • For each pair of edges \((i, j)\), if \(i<j\), then \(W_i<W_j\).
  • For each pair of different vertex indices \((x, y)\), the cost of the only simple path from vertex \(x\) to \(y\) in the key tree is equal to the minimum cost of a simple circuit that goes through vertices \(x\) and \(y\) in the graph.
• Note that the graph is allowed to have multi-edges, but is not allowed to have self-loops.

Print the answer modulo \(998\,244\,353\).

Two graphs are considered distinct if and only if there exists a triple \((a, b, c)\) such that there exists an edge that connects vertices \(a\) and \(b\) with weight \(c\) in one graph, but not in the other.