Table:
Historical population

Census	Pop.	Note	%±

1970	373	—
1980	405	8.6%
1990	339	−16.3%
2000	354	4.4%
2010	282	−20.3%
2017 (est.)	276	[3]	−2.1%
U.S. Decennial Census[7]
2013 Estimate[8]

Given a table image, your task is to extract the cells' values in the following rows or columns:
the 1st row,
the 1st column,
the 2nd row,
the 2nd column,
the 6th row,
the 9th row,

Task requirements: Show the cells in each row or column in the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For example, {"row_id":"3", "cell_list": ["A", "B", "C"]}.

The cell values of target rows or columns are as follows:
For the 1st row: {"row_id": "1", "cell_list": ['Historical population']}
For the 1st column: {"column_id": "1", "cell_list": ['Historical population', 'Census', '1970', '1980', '1990', '2000', '2010', 'Est. 2017', 'U.S. Decennial Census 2013 Estimate']}
For the 2nd row: {"row_id": "2", "cell_list": ['Census', 'Pop.', '', '%±']}
For the 2nd column: {"column_id": "2", "cell_list": ['Pop.', '373', '405', '339', '354', '282', '276']}
For the 6th row: {"row_id": "6", "cell_list": ['2000', '354', '', '4.4%']}
For the 9th row: {"row_id": "9", "cell_list": ['U.S. Decennial Census 2013 Estimate']}