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:
Parece que, por fin, Almodóvar va a dar más importancia al hombre que a la mujer en alguna de sus películas.
Postion	Tokenization
1	Parece
2	que
3	,
4	por
5	fin
6	,
7	Almodóvar
8	va
9	a
10	dar
11	más
12	importancia
13	al
14	hombre
15	que
16	a
17	la
18	mujer
19	en
20	alguna
21	de
22	sus
23	películas
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Parece	VERB	0	root
2	que	SCONJ	10	mark
3	,	PUNCT	4	punct
4	por	ADP	10	advmod
5	fin	NOUN	4	fixed
6	,	PUNCT	4	punct
7	Almodóvar	PROPN	10	nsubj
8	va	AUX	10	aux
9	a	ADP	10	mark
10	dar	VERB	1	csubj
11	más	ADV	12	advmod
12	importancia	NOUN	10	obj
13	al	ADP	14	case
14	hombre	NOUN	10	obj
15	que	PRON	10	obl
16	a	ADP	15	case
17	la	DET	18	det
18	mujer	NOUN	15	nmod
19	en	ADP	20	case
20	alguna	PRON	10	obl
21	de	ADP	23	case
22	sus	DET	23	det
23	películas	NOUN	20	nmod
24	.	PUNCT	1	punct