Table:
Club	Season	League	Cup	League Cup	Other	Total

Division	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals

Moscow	2006	Russian Premier League	8	2	0	0	—	8	2

2007	30	4	0	0	—	30	4

2008	4	0	0	0	—	4	0

Total	42	6	0	0	0	0	0	0	42	6

San Lorenzo (loan)	2008–09	Argentine Primera División	21	8	0	0	—	2	1	23	9

Catania	2009–10	Serie A	2	0	0	0	—	2	0

2010–11	0	0	2	0	—	2	0

2011–12	25	4	1	0	—	26	4

2012–13	31	5	4	0	—	35	5

2013–14	28	5	0	0	—	28	5

Total	86	14	7	0	0	0	0	0	93	14

Estudiantes (loan)	2010–11	Argentine Primera División	13	0	0	0	—	6	2	19	2

San Lorenzo	2014	Argentine Primera División	12	1	0	0	—	5	1	17	2

2015	22	1	2	0	—	5	0	29	1

2016	13	1	0	0	—	6	2	19	3

Total	47	3	2	0	0	0	16	3	65	6

Toluca	2016–17	Liga MX	35	8	6	0	—	41	8

2017–18	26	2	7	1	—	33	3

Total	61	10	13	1	0	0	0	0	74	11

Career totals	270	41	22	1	0	0	24	6	316	48

Based on the given table, what are the contents of the cells in the following positions in the table? Output each cell content as JSON in the format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.
row 12 and column 5,
row 8 and column 5,
row 10 and column 6,
row 22 and column 4,
row 19 and column 5,

The extracted cell contents are listed below.
{"row_id":"12", "column_id":"5", "cell_value":"5"}
{"row_id":"8", "column_id":"5", "cell_value":"0"}
{"row_id":"10", "column_id":"6", "cell_value":"1"}
{"row_id":"22", "column_id":"4", "cell_value":"270"}
{"row_id":"19", "column_id":"5", "cell_value":"8"}