In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Ex Input:
The Strada is an exciting Italian restaurant that is not only affordable, but quiet because no minors are allowed. It is right next to the Rainbow Vegetarian Café

Ex Output:
name[Strada], food[Italian], priceRange[less than £20], customer rating[low], familyFriendly[no], near[Rainbow Vegetarian Café]


Ex Input:
The Golden Curry is a Chinese family friendly restaurant that has average ratings. It is located in Riverside next to the Café Rouge.

Ex Output:
name[The Golden Curry], food[Chinese], customer rating[average], area[riverside], familyFriendly[yes], near[Café Rouge]


Ex Input:
Cotto is near the Ranch. Plus, the food is children friendly and its English.

Ex Output:

name[Cotto], food[English], customer rating[average], familyFriendly[yes], near[Ranch]