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:
But my wife and I first went there thinking it would be Brazilian food (think lots of meat), but it turned out to be a vegan restaurant!
Postion	Tokenization
1	But
2	my
3	wife
4	and
5	I
6	first
7	went
8	there
9	thinking
10	it
11	would
12	be
13	Brazilian
14	food
15	(
16	think
17	lots
18	of
19	meat
20	)
21	,
22	but
23	it
24	turned
25	out
26	to
27	be
28	a
29	vegan
30	restaurant
31	!
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	24	cc
2	my	PRON	3	nmod:poss
3	wife	NOUN	7	nsubj
4	and	CCONJ	5	cc
5	I	PRON	3	conj
6	first	ADV	7	advmod
7	went	VERB	0	root
8	there	ADV	7	advmod
9	thinking	VERB	7	advcl
10	it	PRON	14	nsubj
11	would	AUX	14	aux
12	be	AUX	14	cop
13	Brazilian	ADJ	14	amod
14	food	NOUN	9	ccomp
15	(	PUNCT	16	punct
16	think	VERB	14	parataxis
17	lots	NOUN	16	obj
18	of	ADP	19	case
19	meat	NOUN	17	nmod
20	)	PUNCT	16	punct
21	,	PUNCT	24	punct
22	but	CCONJ	24	cc
23	it	PRON	24	nsubj
24	turned	VERB	7	conj
25	out	ADP	24	compound:prt
26	to	PART	30	mark
27	be	AUX	30	cop
28	a	DET	30	det
29	vegan	ADJ	30	amod
30	restaurant	NOUN	24	xcomp
31	!	PUNCT	7	punct