Python multiprocessing while loop, return and append outputs - while-loop

Question

I have a conceptually simple code I want to parallelize, but all the other threads I found about are too complicated and I do not understand how to apply them to my case, or even if they are applicable.
In my code, a function with multiple arguments is called over a while loop and returns both an output and the exit condition from the loop. I want to parallelize the while loop. I am using Python 3.7.3.
Here is a simplified example:
import multiprocessing as mp
import numpy as np
import time
def foo(i, arg1, arg2):
n = np.random.rand()
n = arg1*n + arg2
if n > 0.9:
stop = True
else:
stop = False
return [i, n], stop
if __name__ == '__main__':
i = 0
stop = False
output = list()
while not stop:
out, stop = foo(i, 1, 0)
i = i + 1
if not stop:
output.append(out)
print(np.asarray(output))
Output:
[[ 0. 0.25295033]
[ 1. 0.53795096]
[ 2. 0.48774803]
[ 3. 0.09281972]
[ 4. 0.75053227]
[ 5. 0.30367072]
[ 6. 0.57043762]
[ 7. 0.4589554 ]
[ 8. 0.33231446]
[ 9. 0.76805717]
[10. 0.22486246]
[11. 0.69499273]
[12. 0.67616563]]
EDIT. I would like to "bump" this thread as this is something I really need help about and I cannot do it by myself. Meta-etiquette says I should edit by adding value to the question, but I do not think I could add anything else: I just need to parallelize the code presented. I would really appreciate any (practical) feedback.