Given the schema and sample data below, write a single PostgreSQL query (no dynamic SQL) that returns, for every calendar month present in requests, the counts and shares of requests from NEW vs RETURNING users. Definitions: A user's FIRST_REQUEST_MONTH is date_trunc('month', MIN(request_ts)) over all their requests. A request is NEW if date_trunc('month', request_ts) = FIRST_REQUEST_MONTH for that user; otherwise it is RETURNING. Output columns: month (YYYY-MM), new_request_count, returning_request_count, new_share_pct (0–100 with two decimals), returning_share_pct. Requirements: (1) Include months even if one class has zero; (2) Avoid double counting; (3) Treat timestamps as UTC; (4) Do not assume contiguous months; (5) Be robust if a user exists in users but has no requests (they should not appear unless the month has requests from someone); (6) Order by month ascending. Also, show what your query would output on the sample data to verify understanding. Schema: users(user_id INT PRIMARY KEY, signup_dt DATE) requests(request_id INT PRIMARY KEY, user_id INT REFERENCES users(user_id), request_ts TIMESTAMP NOT NULL) Sample tables: users +---------+------------+ | user_id | signup_dt | +---------+------------+ | 1 | 2025-01-10 | | 2 | 2025-01-20 | | 3 | 2025-02-02 | | 4 | 2025-02-25 | +---------+------------+ requests +------------+---------+---------------------+ | request_id | user_id | request_ts | +------------+---------+---------------------+ | 101 | 1 | 2025-01-11 08:00:00 | | 102 | 1 | 2025-02-01 10:00:00 | | 103 | 2 | 2025-01-25 12:00:00 | | 104 | 2 | 2025-02-15 09:00:00 | | 105 | 3 | 2025-02-10 14:00:00 | | 106 | 3 | 2025-02-28 16:00:00 | | 107 | 1 | 2025-03-05 11:00:00 | | 108 | 4 | 2025-03-01 07:30:00 | +------------+---------+---------------------+