Table:
2019	2018	2017

€m	€m	€m

Cash generated by operations (refer to note 18)	14,182	13,860	13,781

Capital additions	(7,227)	(7,321)	(7,675)

Working capital movement in respect of capital additions	(89)	171	(822)

Disposal of property, plant and equipment	45	41	43

Restructuring payments	195	250	266

Other	(35)	–	34

Operating free cash flow	7,071	7,001	5,627

Taxation	(1,040)	(1,010)	(761)

Dividends received from associates and investments	498	489	433

Dividends paid to non-controlling shareholders in subsidiaries	(584)	(310)	(413)

Interest received and paid	(502)	(753)	(830)

Free cash flow (pre-spectrum)	5,443	5,417	4,056

Licence and spectrum payments	(837)	(1,123)	(474)

Restructuring payments	(195)	(250)	(266)

Free cash flow	4,411	4,044	3,316

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 number, column number)}, with both row and column number begin from 1.
Refer to the values below:
(1) '(753)',
(2) 'Interest received and paid',
(3) 'Free cash flow',
(4) '5,627',
(5) '(35)',
(6) '13,860',
(7) '5,443',
(8) 'image',
(9) '1 november 1960',
(10) 'yearsactive',

Represent the location as 'DOES NOT EXIST' if a cell is not present in the table. 

The coordinates of target cells are listed below.
(1) {'value': '(753)', 'location': (13, 3)}
(2) {'value': 'Interest received and paid', 'location': (13, 1)}
(3) {'value': 'Free cash flow', 'location': (17, 1)}
(4) {'value': '5,627', 'location': (9, 4)}
(5) {'value': '(35)', 'location': (8, 2)}
(6) {'value': '13,860', 'location': (3, 3)}
(7) {'value': '5,443', 'location': (14, 2)}
(8) {'value': 'image', 'location': 'DOES NOT EXIST'}
(9) {'value': '1 november 1960', 'location': 'DOES NOT EXIST'}
(10) {'value': 'yearsactive', 'location': 'DOES NOT EXIST'}