In pandas, can I add a new row with the colum names?

Question

I'm dealing with messy data and upon import the header of the DF has values I actually need, Can I convert these to rows and perhaps remove the column name or rename them? My end goal here is to convert this to a json from pandas.

df

    Url                     https://www.intuit.com/oidam/intuit/ic/en_us/content/intuit-cr-report-2020-icom.pdf
0   company_id              53
1   current_value scope 1   1912
2   current_value scope 2   5136
3   current_value scope 3   30476 

You can see it's all key values except the header for the first column is Url so when I later do, df.to_json() I get:

{"Url":{"0":"company_id","1":"current_value scope 1","2":"current_value scope 2","3":"current_value scope 3"},"https:\/\/www.intuit.com\/oidam\/intuit\/ic\/en_us\/content\/intuit-cr-report-2020-icom.pdf":{"0":53,"1":1912,"2":5136,"3":30476}}