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:
Si bien a continuación admitía que "pese a todo, sus ojos negros y muy brillantes y la violencia que transmite su cara le hacen peligrosamente atractivo".
Postion	Tokenization
1	Si
2	bien
3	a
4	continuación
5	admitía
6	que
7	"
8	pese
9	a
10	todo
11	,
12	sus
13	ojos
14	negros
15	y
16	muy
17	brillantes
18	y
19	la
20	violencia
21	que
22	transmite
23	su
24	cara
25	le
26	hacen
27	peligrosamente
28	atractivo
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	5	mark
2	bien	ADV	1	fixed
3	a	ADP	5	advmod
4	continuación	NOUN	3	fixed
5	admitía	VERB	0	root
6	que	SCONJ	26	mark
7	"	PUNCT	26	punct
8	pese	NOUN	10	case
9	a	ADP	8	fixed
10	todo	PRON	26	obl
11	,	PUNCT	10	punct
12	sus	DET	13	det
13	ojos	NOUN	26	nsubj
14	negros	ADJ	13	amod
15	y	CCONJ	17	cc
16	muy	ADV	17	advmod
17	brillantes	ADJ	14	conj
18	y	CCONJ	20	cc
19	la	DET	20	det
20	violencia	NOUN	13	conj
21	que	PRON	22	obj
22	transmite	VERB	20	acl
23	su	DET	24	det
24	cara	NOUN	22	nsubj
25	le	PRON	26	obj
26	hacen	VERB	5	ccomp
27	peligrosamente	ADV	28	advmod
28	atractivo	ADJ	26	obj
29	"	PUNCT	26	punct
30	.	PUNCT	5	punct