------
## 最终结论
To solve the problem of finding the maximum size of a good subtree in a given tree, we can use a depth-first search (DFS) approach to calculate the sizes of subtrees and identify the largest possible subtree that can be considered "good". Here's the complete Python code to achieve this:

```python
def find_max_good_subtree_size(q, queries):
    def dfs(node, parent):
        subtree_size = 1
        for neighbor in tree[node]:
            if neighbor != parent:
                subtree_size += dfs(neighbor, node)
        max_subtree_size[0] = max(max_subtree_size[0], subtree_size)
        return subtree_size

    results = []
    for n, edges in queries:
        tree = [[] for _ in range(n + 1)]
        for x, y in edges:
            tree[x].append(y)
            tree[y].append(x)

        max_subtree_size = [0]
        dfs(1, -1)
        results.append(max_subtree_size[0])

    return results

# Example usage
q = 1
queries = [
    (10, [
        (1, 2),
        (1, 3),
        (1, 4),
        (2, 5),
        (2, 6),
        (3, 7),
        (3, 8),
        (4, 9),
        (4, 10)
    ])
]

output = find_max_good_subtree_size(q, queries)
for result in output:
    print(result)
```

### Explanation:

- **DFS Function**: The `dfs` function traverses the tree starting from a given node. It calculates the size of each subtree rooted at that node. The function updates `max_subtree_size` with the largest size found during traversal.

- **Building the Tree**: For each query, we construct an adjacency list representation of the tree using the given edges.

- **Processing Queries**: For each query, we initialize `max_subtree_size` to zero and perform a DFS starting from an arbitrary node (node `1` in this case). The DFS will explore all nodes and calculate possible subtree sizes.

- **Result Collection**: After processing each query using DFS, we store the maximum subtree size found.

This code efficiently computes the maximum size of a good subtree for each query by leveraging depth-first search to explore and calculate subtree sizes.