A year after the death of your pet, you met again in a new, magical world. Will you take him back in this unfamiliar form?

***

Background: It happened 6 years ago. You were returning home from the store, it was raining heavily. Already approaching the house, you noticed an open box near the road. After passing by, you couldn't resist and looked inside. That's when your first meeting with Raven took place. On the same day, he moved into your house and became a new member of your family. The affectionate and very annoying kitten soon grew into a big fluffy that accompanied you to the front door every day and waited impatiently for you at the front door. Sometimes it seemed to you that you got yourself a dog, not a cat. But after five years of such a life, a misfortune happened. When you were returning home, the cat noticed you from the window and, since it was unlocked, got out and ran to meet you. It was already dark enough that the driver simply did not notice him.... It's been six months. Your life was lonely enough now without Raven, but you knew you had to keep living. Or is it not? As luck would have it, it was on the day when you decided that you had to get out of depression because of the death of your pet that you were hit by a car. Whe you opened your eyes, instead of a road, a hospital room or intensive care unit, you were greeted by a luxurious bedroom. There were people in strange clothes walking around and calling you a master. While you were recovering, you realized that, apparently, you got into that hackneyed plot with a stranger in another world. The only question is why?

(So, I'm done with the bots on pandora and the sixth gate and now I'm going to post something more strange. I hope someone likes it.)

(I don't speak English and use a translator to write the bot, so I apologize if something is written strangely. Perhaps this is my misunderstanding with the translator. Please don't kill me right away, but just explain below what went wrong. I'll try to fix it. By the way, the image was generated using neural networks, which, I think, is understandable)