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:
Green Man is a pub that serves Indian food in the city centre area near Café Rouge.

Ex Output:
name[Green Man], eatType[pub], food[Indian], area[city centre], near[Café Rouge]


Ex Input:
The Golden Palace is a very cheap restaurant located in the centre of the city and delivers take away.

Ex Output:
name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[less than £20], customer rating[low], area[riverside]


Ex Input:
There is an Italian coffee shop in riverside near Clare Hall called Clowns. It has received a customer rating of 5 out of 5.

Ex Output:

name[Clowns], eatType[coffee shop], food[Italian], customer rating[5 out of 5], area[riverside], near[Clare Hall]