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:
A Japanese food restaurant in the city centre area is called The Phoenix, they serve Japanese food with a lower customer rating. The prices are more than £30.

Ex Output:
name[The Phoenix], food[Japanese], priceRange[more than £30], customer rating[low], area[city centre]


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:
Strada serves average priced and well rated Japanese food near Rainbow Vegetarian Café. Family friendly place.

Ex Output:

name[Strada], food[Japanese], priceRange[£20-25], customer rating[high], familyFriendly[yes], near[Rainbow Vegetarian Café]