Table:
F19	F18

$ MILLION	53 WEEKS	52 WEEKS	CHANGE	CHANGE NORMALISED

Sales	1,671	1,612	3.7%	1.8%

EBITDA	372	361	3.5%	2.5%

Depreciation and amortisation	(111)	(102)	9.9%	9.9%

EBIT	261	259	1.0%	(0.5)%

Gross margin (%)	83.6	84.2	(55) bps	(54) bps

Cost of doing business (%)	68.0	68.1	(12) bps	(18) bps

EBIT to sales (%)	15.6	16.1	(43) bps	(35) bps

Funds employed	2,068	1,995	3.7%

ROFE (%)	12.9	13.1	(20) bps	(38) bps

Inspect the given table and provide the contents of specific rows. Represent the cells in a row with the JSON format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}. For instance, {"row_id":"5", "cell_list": ["152", "UN", "one last kiss"]}.
Needed rows:
row 1,
row 9,
row 5,
row 7,
row 3,

The cell values of target rows are as follows:
For row 1: {"row_id": "1", "cell_list": ['', 'F19', 'F18', '', '']}
For row 9: {"row_id": "9", "cell_list": ['EBIT to sales (%)', '15.6', '16.1', '(43) bps', '(35) bps']}
For row 5: {"row_id": "5", "cell_list": ['Depreciation and amortisation', '(111)', '(102)', '9.9%', '9.9%']}
For row 7: {"row_id": "7", "cell_list": ['Gross margin (%)', '83.6', '84.2', '(55) bps', '(54) bps']}
For row 3: {"row_id": "3", "cell_list": ['Sales', '1,671', '1,612', '3.7%', '1.8%']}