Table:
Club	Season	League	Cup	Continental	Total

Division	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals

Cacereño	2003–04	Segunda División B	16	0	—	16	0

Cerro Reyes	2004-05	Tercera División	18	3	—	0	0	18	3

Ciudad Lorca	2005-06	Tercera División	?	?	—	?	?	?	?

Villanovense	2006–07	Segunda División B	32	2	1	0	—	33	2

Xerez 'B'	2007–08	Tercera División	25	3	—	25	3

Manchego	2008-09	Tercera División	28	7	—	28	7

Badajoz	2009-10	Tercera División	35	7	—	2	0	37	7

Badajoz	2010–11	Segunda División B	28	2	3	0	—	31	2

Albacete	2011–12	Segunda División B	30	5	6	0	3	0	39	5

2012–13	Segunda División B	33	1	1	0	2	0	36	1

Total	245	30	11	0	7	0	263	30

Murcia	2013–14	Segunda División	28	1	1	0	1	0	30	1

Ponferradina (loan)	2014–15	Segunda División	23	0	1	0	—	24	0

AEK Larnaca	2015–16	Cypriot First Division	32	3	3	0	2	0	37	3

2016–17	Cypriot First Division	23	2	0	0	8	0	31	2

2017–18	Cypriot First Division	31	1	5	0	8	1	44	2

2018–19	Cypriot First Division	21	2	4	0	11	1	36	3

Total	158	9	14	0	30	2	202	11

Career total	403	39	22	0	35	2	465	41

Given a table, you can represent a cell's position using the JSON {'value': '<cell value>', 'location': (row index, column index)}, where row and column indices start from 1. Referring to the shown table picture, determine the locations of the specified cells using the mentioned format.
Target cell values:
1. 'manchego'
2. 'ciudad lorca'
3. '2006-07'
4. 'division'
5. '2017-18'
6. '4'
7. '22'
Use 'DOES NOT EXIST' as the location for a non-existing cell in the table.

The coordinates of target cells are listed below.
1. {'value': 'manchego', 'location': (8, 1)}
2. {'value': 'ciudad lorca', 'location': (5, 1)}
3. {'value': '2006-07', 'location': (6, 2)}
4. {'value': 'division', 'location': (2, 3)}
5. {'value': '2017-18', 'location': (18, 2)}
6. {'value': '4', 'location': (19, 6)}
7. {'value': '22', 'location': (21, 6)}