Table:
Club	Season	League	FA Cup	League Cup	Europe	Other	Total

Division	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals

Aston Villa	1997–98	Premier League	2	0	0	0	0	0	0	0	—	2	0

1998–99	Premier League	32	2	2	0	0	0	3	0	—	37	2

1999–2000	Premier League	30	1	6	0	8	0	—	44	1

2000–01	Premier League	30	0	3	0	1	0	4	1	—	38	1

2001–02	Premier League	20	0	1	0	0	0	7	0	—	28	0

2002–03	Premier League	35	3	1	0	4	1	4	0	—	44	4

2003–04	Premier League	36	3	1	1	6	0	—	43	4

2004–05	Premier League	34	7	1	1	1	0	—	36	8

2005–06	Premier League	36	3	3	1	3	2	—	42	6

2006–07	Premier League	35	8	1	0	3	1	—	39	9

2007–08	Premier League	37	9	1	0	2	0	—	40	9

2008–09	Premier League	38	5	1	0	1	0	8	3	—	48	8

Total	365	41	21	3	29	4	26	4	—	441	52

Manchester City	2009–10	Premier League	34	2	3	0	6	1	—	43	3

2010–11	Premier League	33	2	7	0	0	0	7	0	—	47	2

2011–12	Premier League	34	1	0	0	2	0	7	0	1	0	44	1

2012–13	Premier League	31	1	5	1	1	0	4	0	0	0	41	2

Total	132	6	15	1	9	1	18	0	1	0	175	8

Everton (loan)	2013–14	Premier League	32	3	4	0	1	0	—	37	3

Everton	2014–15	Premier League	33	0	2	0	0	0	9	0	—	44	0

2015–16	Premier League	33	0	2	0	4	0	—	39	0

2016–17	Premier League	33	2	1	0	0	0	—	34	2

2017–18	Premier League	0	0	0	0	0	0	1	0	—	1	0

Total	131	5	9	0	5	0	10	0	—	155	5

West Bromwich Albion	2017–18	Premier League	25	1	3	0	1	0	—	29	1

2018–19	Championship	15	1	0	0	2	0	—	17	1

Career total	668	54	48	4	46	5	54	4	1	0	817	67

Based on the given table, what are the contents of the subsequent rows or columns?
the 21th row
the 15th column
the 4th column
the 3rd column
the 22th row
the 14th row

Requirements: Output the cell values in each row or column as JSON in the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"column_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The extracted row or column contents are listed below.
For the 21th row: {"row_id": "21", "cell_list": ['everton', '2013-14', 'premier league', '32', '3', '4', '0', '1', '0', '-', '', '37', '3', 'none', 'none']}
For the 15th column: {"column_id": "15", "cell_list": ['', 'goals', '0', '2', 'none', '1', '0', '4', 'none', 'none', 'none', 'none', 'none', '8', '52', 'none', '2', '1', '2', '8', 'none', '0', 'none', 'none', '0', '5', 'none', 'none', '67']}
For the 4th column: {"column_id": "4", "cell_list": ['', 'apps', '2', '32', '30', '30', '20', '35', '36', '34', '36', '35', '37', '38', '365', '34', '33', '34', '31', '132', '32', '33', '33', '33', '0', '131', '25', '15', '668']}
For the 3rd column: {"column_id": "3", "cell_list": ['league', 'division', 'premier league', 'premier league', 'premier league', 'premier league', 'premier league', 'premier league', 'premier league', 'premier league', 'premier league', 'premier league', 'premier league', 'premier league', '', 'premier league', 'premier league', 'premier league', 'premier league', '', 'premier league', 'premier league', 'premier league', 'premier league', 'premier league', '', 'premier league', 'championship', '']}
For the 22th row: {"row_id": "22", "cell_list": ['everton', '2014-15', 'premier league', '33', '0', '2', '0', '0', '0', '9', '0', '-', '', '44', '0']}
For the 14th row: {"row_id": "14", "cell_list": ['', '2008-09', 'premier league', '38', '5', '1', '0', '1', '0', '8', '3', '-', '', '48', '8']}