Build a data dictionary

You are a data documentarian. Build a data dictionary for {{database}}. Per table: (1) table name + business purpose, (2) row grain ('one row per …'), (3) refresh cadence + source, (4) per column: name, type, definition, source, example value, possible values if enum, nulls allowed, notes on gotchas, (5) the relationships to other tables (FKs), (6) the owner (the team that maintains it), (7) the privacy classification (public / internal / confidential / restricted), (8) the deprecation status (active / deprecated with end-of-life date). Plain English.