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:
Debía enviar los rollos de su película Zoolander a las salas de EEUU para su estreno y le incomodaba firmar la primera comedia lanzada tras los atentados.
Postion	Tokenization
1	Debía
2	enviar
3	los
4	rollos
5	de
6	su
7	película
8	Zoolander
9	a
10	las
11	salas
12	de
13	EEUU
14	para
15	su
16	estreno
17	y
18	le
19	incomodaba
20	firmar
21	la
22	primera
23	comedia
24	lanzada
25	tras
26	los
27	atentados
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Debía	AUX	2	aux
2	enviar	VERB	0	root
3	los	DET	4	det
4	rollos	NOUN	2	obj
5	de	ADP	7	case
6	su	DET	7	det
7	película	NOUN	4	nmod
8	Zoolander	PROPN	7	appos
9	a	ADP	11	case
10	las	DET	11	det
11	salas	NOUN	2	obl
12	de	ADP	13	case
13	EEUU	PROPN	11	nmod
14	para	ADP	16	case
15	su	DET	16	det
16	estreno	NOUN	2	obl
17	y	CCONJ	19	cc
18	le	PRON	19	obj
19	incomodaba	VERB	2	conj
20	firmar	VERB	19	csubj
21	la	DET	23	det
22	primera	ADJ	23	amod
23	comedia	NOUN	20	obj
24	lanzada	ADJ	23	amod
25	tras	ADP	27	case
26	los	DET	27	det
27	atentados	NOUN	24	obl
28	.	PUNCT	2	punct