Parallelize python code with R

Let this python code to be parallelized:
import time

 def basic_func(x):
    if x == 0:
        return 'zero'
    elif x%2 == 0:
        return 'even'
    else:
        return 'odd'
    
starttime = time.time()
for i in range(0,10):
    y = i*i
    # time.sleep(2)
    print('{} squared results in a/an {} number'.format(i, basic_func(y)))
    
print('That took {} seconds'.format(time.time() - starttime))

Do this in R:

library(microbenchmark)
library(parallel)

 microbenchmark({out1 <- parallel::mclapply(1:1000, FUN=function(x) {system("python3 essai.py", intern=TRUE)}, mc.cores = detectCores())}, times = 1L)

 microbenchmark({out1 <- lapply(1:1000, FUN=function(x) {system("python3 essai.py", intern=TRUE)})}, times = 1L)

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