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 Rice Boat is a Japanese eatery located near the Express by Holiday Inn in the city centre. Their prices are less than £20 but have low customer ratings and are not family-friendly.

Ex Output:
name[The Rice Boat], food[Japanese], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[no], near[Express by Holiday Inn]


Ex Input:
The Punter is a family restaurant with low prices and delicious sushi, located near the Café Sicilia

Ex Output:
name[The Punter], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Café Sicilia]


Ex Input:
Strada is located near Rainbow Vegetarian Café that serves English food with a price range less than £20. it has low customer rating and is family friendly

Ex Output:

name[Strada], food[English], priceRange[less than £20], customer rating[low], familyFriendly[yes], near[Rainbow Vegetarian Café]