Table:
Fiscal Yaar Ended March 31,

2017	2018	2019

Sales:

Product and equipment sales to affliates	$30,303	$26,069	$10,436

Purchases

Purchases of resale inventories, raw materials, supplies, equipment, and services	303,793	256,660	9,399

Other

Dividends paid	52,983	54,810	56,028

the 5th row,
the 2nd column,
the 6th row,
the 7th row,
the 4th row,
the 3rd column,
Extract the contents of cells in the above rows or columns, identified by row or column indices. Represent the cells in a row or a column with the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For instance, {"row_id":"5", "cell_list": ["13", "england", "2023-1201"]}.

The cell values of target rows or columns are as follows:
For the 5th row: {"row_id": "5", "cell_list": ['Purchases', '', '', '']}
For the 2nd column: {"column_id": "2", "cell_list": ['', '2017', '', '$30,303', '', '303,793', '', '52,983']}
For the 6th row: {"row_id": "6", "cell_list": ['Purchases of resale inventories, raw materials, supplies, equipment, and services', '303,793', '256,660', '9,399']}
For the 7th row: {"row_id": "7", "cell_list": ['Other', '', '', '']}
For the 4th row: {"row_id": "4", "cell_list": ['Product and equipment sales to affliates', '$30,303', '$26,069', '$10,436']}
For the 3rd column: {"column_id": "3", "cell_list": ['Fiscal Yaar Ended March 31,', '2018', '', '$26,069', '', '256,660', '', '54,810']}