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:
Everything we have gotten there has been more authentic and better tasting than any other Chinese restaurant in the San Antonio area we have been to--and trust me we have been to a lot of them.
Postion	Tokenization
1	Everything
2	we
3	have
4	gotten
5	there
6	has
7	been
8	more
9	authentic
10	and
11	better
12	tasting
13	than
14	any
15	other
16	Chinese
17	restaurant
18	in
19	the
20	San
21	Antonio
22	area
23	we
24	have
25	been
26	to
27	--
28	and
29	trust
30	me
31	we
32	have
33	been
34	to
35	a
36	lot
37	of
38	them
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Everything	PRON	9	nsubj
2	we	PRON	4	nsubj
3	have	AUX	4	aux
4	gotten	VERB	1	acl:relcl
5	there	ADV	4	advmod
6	has	AUX	9	aux
7	been	AUX	9	cop
8	more	ADV	9	advmod
9	authentic	ADJ	0	root
10	and	CCONJ	12	cc
11	better	ADV	12	advmod
12	tasting	VERB	9	conj
13	than	ADP	17	case
14	any	DET	17	det
15	other	ADJ	17	amod
16	Chinese	ADJ	17	amod
17	restaurant	NOUN	9	obl
18	in	ADP	22	case
19	the	DET	22	det
20	San	PROPN	22	compound
21	Antonio	PROPN	20	flat
22	area	NOUN	17	nmod
23	we	PRON	26	nsubj
24	have	AUX	26	aux
25	been	AUX	26	cop
26	to	ADP	17	acl:relcl
27	--	PUNCT	9	punct
28	and	CCONJ	36	cc
29	trust	VERB	36	parataxis
30	me	PRON	29	obj
31	we	PRON	36	nsubj
32	have	AUX	36	aux
33	been	AUX	36	cop
34	to	ADP	36	case
35	a	DET	36	det
36	lot	NOUN	9	conj
37	of	ADP	38	case
38	them	PRON	36	nmod
39	.	PUNCT	9	punct