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:
A los que ni tan siquiera les interesó la primera película, mejor que se abstengan de esta continuación, uno de los filmes más taquilleros del cine español.
Postion	Tokenization
1	A
2	los
3	que
4	ni
5	tan
6	siquiera
7	les
8	interesó
9	la
10	primera
11	película
12	,
13	mejor
14	que
15	se
16	abstengan
17	de
18	esta
19	continuación
20	,
21	uno
22	de
23	los
24	filmes
25	más
26	taquilleros
27	del
28	cine
29	español
30	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	8	mark
2	los	DET	8	det
3	que	PRON	8	obj
4	ni	CCONJ	8	advmod
5	tan	NOUN	4	fixed
6	siquiera	NOUN	4	fixed
7	les	PRON	8	obj
8	interesó	VERB	16	ccomp
9	la	DET	11	det
10	primera	ADJ	11	amod
11	película	NOUN	8	nsubj
12	,	PUNCT	8	punct
13	mejor	ADJ	16	amod
14	que	SCONJ	16	mark
15	se	PRON	16	expl:pv
16	abstengan	VERB	0	root
17	de	ADP	19	case
18	esta	DET	19	det
19	continuación	NOUN	16	iobj
20	,	PUNCT	21	punct
21	uno	PRON	19	appos
22	de	ADP	24	case
23	los	DET	24	det
24	filmes	NOUN	21	nmod
25	más	ADV	26	advmod
26	taquilleros	ADJ	24	amod
27	del	ADP	28	case
28	cine	NOUN	24	nmod
29	español	ADJ	28	amod
30	.	PUNCT	16	punct