Table:
2019	2018

RMB’Million	RMB’Million

At beginning of the year	97,877	–

Adjustment on adoption of IFRS 9	–	95,497

Additions (Note (a))	44,618	60,807

Transfers (Note (b))	(1,421)	(78,816)

Changes in fair value (Note 7(b))	9,511	28,738

Disposals (Note (c))	(16,664)	(14,805)

Currency translation differences	2,015	6,456

At end of the year	135,936	97,877

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_ID, Column_ID)}, with both row and column IDs begin from 1.
Refer to the values below:
(1) 'Additions (Note (a))';
(2) 'November 4, 1993 – January 24, 1996';
(3) 'June 24, 1993 – November 3, 1993';
(4) 'Transfers (Note (b))';
(5) '23.';
(6) 'Adjustment on adoption of IFRS 9';
(7) '28,738';
(8) 'David Christie';
(9) 'At end of the year';

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': 'Additions (Note (a))', 'location': (5, 1)}
(2) {'value': 'November 4, 1993 – January 24, 1996', 'location': 'DOES NOT EXIST'}
(3) {'value': 'June 24, 1993 – November 3, 1993', 'location': 'DOES NOT EXIST'}
(4) {'value': 'Transfers (Note (b))', 'location': (6, 1)}
(5) {'value': '23.', 'location': 'DOES NOT EXIST'}
(6) {'value': 'Adjustment on adoption of IFRS 9', 'location': (4, 1)}
(7) {'value': '28,738', 'location': (7, 3)}
(8) {'value': 'David Christie', 'location': 'DOES NOT EXIST'}
(9) {'value': 'At end of the year', 'location': (10, 1)}