Table:
Club	Season	League	National Cup	Continental	Other	Total

Division	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals

Palermo	2001–02	Serie B	29	2	0	0	—	—	29	2

2002–03	0	0	2	0	—	—	2	0

Ascoli	2002–03	30	7	1	0	—	—	31	7

Palermo	2003–04	18	1	2	0	—	—	20	1

Perugia	2003–04	Serie A	12	2	0	0	—	2	0	14	2

Palermo	2004–05	33	10	4	1	—	—	37	11

2005–06	27	1	3	1	9	3	—	39	4

2006–07	22	0	2	1	4	1	—	28	2

2007–08	8	1	0	0	1	0	—	9	1

Reggina	2007–08	20	7	0	0	—	—	20	7

2008–09	32	5	1	2	—	—	33	7

2009–10	Serie B	29	11	2	2	—	—	31	13

Total	81	23	3	4	0	0	0	0	84	27

Siena	2010–11	Serie B	29	7	1	0	—	—	30	7

2011–12	Serie A	36	4	3	0	—	—	39	4

Total	65	11	4	0	0	0	0	0	69	11

Palermo	2012–13	Serie A	17	1	2	0	—	—	19	1

Total	154	16	15	3	14	4	0	0	183	23

Atalanta	2012–13	Serie A	6	0	0	0	—	—	6	0

2013–14	18	1	0	0	—	—	18	1

Total	24	1	0	0	0	0	0	0	24	1

Cesena	2014–15	Serie A	30	8	1	0	—	—	31	8

Bologna	2015–16	29	3	1	0	—	—	30	3

2016–17	0	0	1	0	—	—	1	0

Total	29	3	2	0	0	0	0	0	31	3

Bari	2016–17	Serie B	27	5	1	0	—	—	28	5

2017–18	24	3	3	0	—	—	27	3

Total	51	8	4	0	0	0	0	0	55	8

Career total	476	79	30	7	14	4	2	0	522	90

Could you identify and list the entries from the specified rows or columns in this table? 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 4th column
the 20th row
the 2nd row
the 9th row

The extracted row or column contents are listed below.
For the 4th column: {"column_id": "4", "cell_list": ['', 'apps', '29', '0', '30', '18', '12', '33', '27', '22', '8', '20', '32', '29', '81', '29', '36', '65', '17', '154', '6', '18', '24', '30', '29', '0', '29', '27', '24', '51', '476']}
For the 20th row: {"row_id": "20", "cell_list": ['', 'total', '', '154', '16', '15', '3', '14', '4', '0', '0', '183', '23']}
For the 2nd row: {"row_id": "2", "cell_list": ['', '', 'division', 'apps', 'goals', 'apps', 'goals', 'apps', 'goals', 'apps', 'goals', 'apps', 'goals']}
For the 9th row: {"row_id": "9", "cell_list": ['', '2005-06', '', '27', '1', '3', '1', '9', '3', '-', '39', '4', 'none']}