Table:
Club	Season	League	Cup	League Cup	Continental	Other	Total

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

Defensa y Justicia	2010–11	Primera B Nacional	18	0	0	0	—	0	0	18	0

2011–12	17	0	1	0	—	0	0	18	0

2012–13	16	1	1	0	—	0	0	17	1

2013–14	11	0	0	0	—	0	0	11	0

Total	62	1	2	0	—	0	0	64	1

Universidad de Chile (loan)	2013	Chilean Primera División	8	1	2	0	—	4	0	0	0	14	1

Huracán (loan)	2013–14	Primera B Nacional	9	0	0	0	—	0	0	9	0

Total	17	1	2	0	—	4	0	0	0	23	1

Godoy Cruz	2014	Argentine Primera División	5	0	0	0	—	2	0	0	0	7	0

Total	5	0	0	0	—	2	0	0	0	7	0

Gimnasia y Esgrima	2015	Argentine Primera División	4	0	0	0	—	0	0	4	0

Total	4	0	0	0	—	0	0	4	0

Arsenal de Sarandí	2016–17	Argentine Primera División	4	0	0	0	—	0	0	4	0

Total	4	0	0	0	—	0	0	4	0

Career total	92	2	4	0	—	6	0	0	0	102	2

Your is as follows:
Examine the table image and determine the locations of the mentioned cells. You need to express a cell's position with the JSON {'value': '<cell value>', 'location': (row index, column index)}, with row and column indices both commencing from 1. If a cell does not exist in the table, denote its location as 'DOES NOT EXIST'.
Cells to locate:
1. 'cup';
2. 'arsenal de sarandi';
3. 'season';
4. '2013';
5. 'league';

The coordinates of target cells are listed below.
1. {'value': 'cup', 'location': (1, 6)}
2. {'value': 'arsenal de sarandi', 'location': (15, 1)}
3. {'value': 'season', 'location': (1, 2)}
4. {'value': '2013', 'location': (8, 2)}
5. {'value': 'league', 'location': (1, 3)}