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:
Su personaje, María, empieza la función esperando la llegada de su marido, que fue encarcelado por pegarla y va a salir en libertad.
Postion	Tokenization
1	Su
2	personaje
3	,
4	María
5	,
6	empieza
7	la
8	función
9	esperando
10	la
11	llegada
12	de
13	su
14	marido
15	,
16	que
17	fue
18	encarcelado
19	por
20	pegarla
21	pegar
22	la
23	y
24	va
25	a
26	salir
27	en
28	libertad
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Su	DET	2	det
2	personaje	NOUN	6	nsubj
3	,	PUNCT	4	punct
4	María	PROPN	2	appos
5	,	PUNCT	4	punct
6	empieza	VERB	0	root
7	la	DET	8	det
8	función	NOUN	6	obj
9	esperando	VERB	6	advcl
10	la	DET	11	det
11	llegada	NOUN	9	obj
12	de	ADP	14	case
13	su	DET	14	det
14	marido	NOUN	11	nmod
15	,	PUNCT	18	punct
16	que	PRON	18	nsubj
17	fue	AUX	18	aux
18	encarcelado	VERB	14	acl
19	por	ADP	20	mark
20	pegarla	_	None	_
21	pegar	VERB	18	advcl
22	la	PRON	20	obj
23	y	CCONJ	25	cc
24	va	AUX	25	aux
25	a	ADP	25	mark
26	salir	VERB	18	conj
27	en	ADP	27	case
28	libertad	NOUN	25	obl
29	.	PUNCT	6	punct