Table:
Club	Season	League	Cup	League Cup	Continental	Other	Total

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

Tiro Federal	2010–11	Primera B Nacional	2	0	0	0	—	0	0	2	0

2011–12	Torneo Argentino A	8	0	0	0	—	0	0	8	0

2012–13	23	1	0	0	—	2	0	25	1

2013–14	25	4	0	0	—	4	0	29	4

2014	Torneo Federal A	14	2	0	0	—	2	0	16	2

Total	72	7	0	0	—	8	0	80	7

Santamarina	2015	Primera B Nacional	15	0	1	0	—	0	0	16	0

Puerto San Martín	2016	Torneo Federal B	2	0	0	0	—	0	0	2	0

Mitre	2016	Torneo Federal A	11	1	0	0	—	2	0	13	1

2016–17	33	0	0	0	—	0	0	33	0

2017–18	Primera B Nacional	24	0	2	0	—	0	0	26	0

2018–19	11	0	0	0	—	0	0	11	0

Total	79	1	2	0	—	2	0	83	1

Career total	168	8	3	0	—	10	0	181	8

Given a table image and a set of target cells, your task is to identify their positions. Represent each cell's location as JSON in the format {'value': '<cell value>', 'location': (row index, column index)}, with both row and column indices begin from 1.
Refer to the values below:
(1) '181';
(2) 'season';
(3) 'other';
(4) '72';
(5) 'santamarina';
(6) 'league cup';
(7) 'cup';
(8) 'division';

For the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'. 

The coordinates of target cells are listed below.
(1) {'value': '181', 'location': (16, 12)}
(2) {'value': 'season', 'location': (1, 2)}
(3) {'value': 'other', 'location': (1, 12)}
(4) {'value': '72', 'location': (8, 4)}
(5) {'value': 'santamarina', 'location': (9, 1)}
(6) {'value': 'league cup', 'location': (1, 8)}
(7) {'value': 'cup', 'location': (1, 6)}
(8) {'value': 'division', 'location': (2, 3)}