As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
I googled restaurants in the area and Fuji Sushi came up and reviews were great so I made a carry out order of : L 17.
Postion	Tokenization
1	I
2	googled
3	restaurants
4	in
5	the
6	area
7	and
8	Fuji
9	Sushi
10	came
11	up
12	and
13	reviews
14	were
15	great
16	so
17	I
18	made
19	a
20	carry
21	out
22	order
23	of
24	:
25	L
26	17
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	googled	VERB	0	root
3	restaurants	NOUN	2	obj
4	in	ADP	6	case
5	the	DET	6	det
6	area	NOUN	3	nmod
7	and	CCONJ	10	cc
8	Fuji	PROPN	9	compound
9	Sushi	PROPN	10	nsubj
10	came	VERB	2	conj
11	up	ADV	10	advmod
12	and	CCONJ	15	cc
13	reviews	NOUN	15	nsubj
14	were	AUX	15	cop
15	great	ADJ	2	conj
16	so	ADV	18	advmod
17	I	PRON	18	nsubj
18	made	VERB	2	parataxis
19	a	DET	22	det
20	carry	VERB	22	compound
21	out	ADP	20	compound
22	order	NOUN	18	obj
23	of	ADP	25	case
24	:	PUNCT	25	punct
25	L	SYM	22	nmod
26	17	NUM	25	nummod
27	.	PUNCT	2	punct