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:
- - María viene marcada por partida doble: su padre, con quien sigue viviendo, abusó de ella cuando era niña, y su marido la ha pegado una y otra vez.
Postion	Tokenization
1	-
2	-
3	María
4	viene
5	marcada
6	por
7	partida
8	doble
9	:
10	su
11	padre
12	,
13	con
14	quien
15	sigue
16	viviendo
17	,
18	abusó
19	de
20	ella
21	cuando
22	era
23	niña
24	,
25	y
26	su
27	marido
28	la
29	ha
30	pegado
31	una
32	y
33	otra
34	vez
35	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	4	punct
2	-	PUNCT	4	punct
3	María	PROPN	4	nsubj
4	viene	VERB	0	root
5	marcada	ADJ	4	obj
6	por	ADP	7	case
7	partida	NOUN	5	obl
8	doble	NOUN	7	compound
9	:	PUNCT	18	punct
10	su	DET	11	det
11	padre	NOUN	18	nsubj
12	,	PUNCT	15	punct
13	con	ADP	14	case
14	quien	PRON	15	obl
15	sigue	VERB	11	acl
16	viviendo	VERB	15	xcomp
17	,	PUNCT	15	punct
18	abusó	VERB	4	advcl
19	de	ADP	20	case
20	ella	PRON	18	obj
21	cuando	SCONJ	23	mark
22	era	AUX	23	cop
23	niña	NOUN	18	advcl
24	,	PUNCT	30	punct
25	y	CCONJ	30	cc
26	su	DET	27	det
27	marido	NOUN	30	nsubj
28	la	PRON	30	obj
29	ha	AUX	30	aux
30	pegado	VERB	18	conj
31	una	DET	34	det
32	y	CCONJ	33	cc
33	otra	PRON	31	conj
34	vez	NOUN	30	obl
35	.	PUNCT	4	punct