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

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

Remo	2012	Série D	4	0	0	0	4	0	—	8	0

Ponte Preta	2013	Série A	1	0	1	0	2	0	—	4	0

Vila Nova (loan)	2013	Série C	11	0	0	0	0	0	—	11	0

Fortaleza	2014	Série C	20	1	23	1	0	0	—	43	2

Ceará	2015	Série B	17	0	15	0	3	0	—	8	0	43	0

2016	Série B	27	1	11	1	4	0	—	8	1	50	3

2017	Série B	27	0	13	1	1	0	—	3	0	44	1

Total	71	1	39	2	8	0	—	19	1	137	4

Avaí (loan)	2018	Série B	0	0	8	0	0	0	—	8	0

Brasil de Pelotas (loan)	2018	Série B	1	0	0	0	0	0	—	1	0

Career total	108	2	71	3	14	0	0	0	19	1	212	6

Given the table image, tell me the locations of the subsequent table cells. Represent the cell location with JSON {'value': '<cell value>', 'location': (row_id, column_id)} where both Row id and Column id begin from 1.
CELL VALUE 1: 'brasil de pelotas'
CELL VALUE 2: 'remo'
Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.

The target cell locations are as follows:
CELL LOCATION 1: {'value': 'brasil de pelotas', 'location': (12, 1)}
CELL LOCATION 2: {'value': 'remo', 'location': (3, 1)}