Okay, so imagine you have a toy car and you're going to drive it on a bumpy road. When you drive over bumps, the car shakes and it's hard to keep it going straight.
Now imagine that you want to figure out how to make the car drive smoothly over any kind of bumpy road, without shaking too much. To do this, you need to use something called a Galilei-covariant tensor.
A tensor is like a set of rules that tell you how something behaves. In this case, the tensor tells you how the car moves in any direction, no matter how bumpy the road is.
But what does "Galilei-covariant" mean? That's a fancy way of saying that the rules of the tensor don't change depending on how fast you're going or which way you're facing. It works the same no matter what.
So if you use the Galilei-covariant tensor, you can make your toy car drive smoothly over any road, no matter how bumpy, and no matter how you're driving it. It's like having a superpower for driving!