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:
"Con esa voz que tiene, me dijo que le había gustado mucho la película, tanto que la consideraba como una de las 10 mejores que había visto en su vida".
Postion	Tokenization
1	"
2	Con
3	esa
4	voz
5	que
6	tiene
7	,
8	me
9	dijo
10	que
11	le
12	había
13	gustado
14	mucho
15	la
16	película
17	,
18	tanto
19	que
20	la
21	consideraba
22	como
23	una
24	de
25	las
26	10
27	mejores
28	que
29	había
30	visto
31	en
32	su
33	vida
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	Con	ADP	4	case
3	esa	DET	4	det
4	voz	NOUN	9	obl
5	que	PRON	6	obj
6	tiene	VERB	4	acl
7	,	PUNCT	4	punct
8	me	PRON	9	iobj
9	dijo	VERB	0	root
10	que	SCONJ	13	mark
11	le	PRON	13	obj
12	había	AUX	13	aux
13	gustado	VERB	9	ccomp
14	mucho	ADV	13	advmod
15	la	DET	16	det
16	película	NOUN	13	nsubj
17	,	PUNCT	18	punct
18	tanto	ADV	13	advmod
19	que	SCONJ	21	mark
20	la	PRON	21	obj
21	consideraba	VERB	18	advcl
22	como	SCONJ	23	mark
23	una	PRON	21	iobj
24	de	ADP	26	case
25	las	DET	26	det
26	10	NUM	23	nummod
27	mejores	ADJ	26	amod
28	que	PRON	30	obj
29	había	AUX	30	aux
30	visto	VERB	23	acl
31	en	ADP	33	case
32	su	DET	33	det
33	vida	NOUN	30	obl
34	"	PUNCT	9	punct
35	.	PUNCT	9	punct