Table:
Club	Season	League	National Cup	League Cup	Continental	Other	Total

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

Nacional	2005–06	Primera División	27	10	—	3	0	4	2	34	12

Groningen	2006–07	Eredivisie	29	10	2	1	—	2	1	4	3	37	15

Ajax	2007–08	Eredivisie	33	17	3	2	—	4	1	4	2	44	22

2008–09	Eredivisie	31	22	2	1	—	10	5	–	43	28

2009–10	Eredivisie	33	35	5	8	—	9	6	—	47	49

2010–11	Eredivisie	13	7	1	1	—	9	4	1	0	24	12

Total	110	81	11	12	—	32	16	5	2	158	111

Liverpool	2010–11	Premier League	13	4	0	0	0	0	0	0	—	13	4

2011–12	Premier League	31	11	4	3	4	3	—	39	17

2012–13	Premier League	33	23	2	2	1	1	8	4	—	44	30

2013–14	Premier League	33	31	3	0	1	0	—	37	31

Total	110	69	9	5	6	4	8	4	—	133	82

Barcelona	2014–15	La Liga	27	16	6	2	—	10	7	—	43	25

2015–16	La Liga	35	40	4	5	—	9	8	5	6	53	59

2016–17	La Liga	35	29	6	4	—	9	3	1	1	51	37

2017–18	La Liga	33	25	6	5	—	10	1	2	0	51	31

2018–19	La Liga	33	21	5	3	—	8	0	1	0	47	24

Total	163	131	27	19	—	46	19	9	7	245	176

Career total	439	301	49	37	6	4	91	40	22	14	607	396

the 2nd column
the 12th column
the 21th row
the 10th row
Extract the contents of cells in the above rows or columns, identified by row or column indices. 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 cell values of target rows or columns are as follows:
For the 2nd column: {"column_id": "2", "cell_list": ['season', '', '2005-06', '2006-07', '2007-08', '2008-09', '2009-10', '2010-11', 'total', '2010-11', '2011-12', '2012-13', '2013-14', 'total', '2014-15', '2015-16', '2016-17', '2017-18', '2018-19', 'total', '']}
For the 12th column: {"column_id": "12", "cell_list": ['other', 'apps', '34', '4', '4', '-', '-', '1', '5', '-', '39', '-', '37', '-', '-', '5', '1', '2', '1', '9', '22']}
For the 21th row: {"row_id": "21", "cell_list": ['career total', '', '', '439', '301', '49', '37', '6', '4', '91', '40', '22', '14', '607', '396']}
For the 10th row: {"row_id": "10", "cell_list": ['liverpool', '2010-11', 'premier league', '13', '4', '0', '0', '0', '0', '0', '0', '-', '', '13', '4']}