R - Randomly split a dataframe in n equal pieces

lets say I have a list of dataframes different numbers of rows:

AB_df = data.frame(replicate(2,sample(0:130,201,rep=TRUE)))
BC_df = data.frame(replicate(2,sample(0:130,200,rep=TRUE)))
DE_df = data.frame(replicate(2,sample(0:130,197,rep=TRUE)))
FG_df = data.frame(replicate(2,sample(0:130,203,rep=TRUE)))

AB_pc = data.frame(replicate(2,sample(0:130,201,rep=TRUE)))
BC_pc = data.frame(replicate(2,sample(0:130,200,rep=TRUE)))
DE_pc = data.frame(replicate(2,sample(0:130,197,rep=TRUE)))
FG_pc = data.frame(replicate(2,sample(0:130,203,rep=TRUE)))

df_list = list(AB_df, BC_df, DE_df, FG_df, AB_pc, BC_pc, DE_pc, FG_pc)
names(df_list) = c("AB_df", "BC_df", "DE_df", "FG_df", "AB_pc", "BC_pc", "DE_pc", "FG_pc")

I want to split the nested dataframes into n equal, but random pieces so that I have e.g. for 4 pieces 4 dataframes with 50 rows and 1 with 51 rows. No row should be twice in any od the splitted dataframes.

The structure should be:

List of 8
 $ AB_df: list of 4
      $ AB_df1: "data.frame": 50 obs. of 2 variables
          ..$ X1: int [1:50] 88 128....
          ..$ X2: int [1:50] 12 84 ....
      $ AB_df2: "data.frame": 50 obs. of 2 variables
          ..$ X1: int [1:50] numbers...
          ..$ X2: int [1:50] numbers....
      $ AB_df3: "data.frame": 50 obs. of 2 variables
          ..$ X1: int [1:50] numbers...
          ..$ X2: int [1:50] numbers....
      $ AB_df4: "data.frame": 51 obs. of 2 variables
          ..$ X1: int [1:50] numbers...
          ..$ X2: int [1:50] numbers....
 $ BC_df:'list of 4
      $ BC_df1: "data.frame": 50 obs. of 2 variables
          ..$ X1: int [1:50] numbers...
          ..$ X2: int [1:50] numbers....
      $ BC_df2: "data.frame": 50 obs. of 2 variables
          ..$ X1: int [1:50] numbers...
          ..$ X2: int [1:50] numbers....
 ............................

I found several topics on how to split a dataframe randomly, but non of these topics helped me with my problem.