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:
Y se arrojó al interior del taxi dispuesto a tumbarse en el asiento trasero y no ver nada de aquella ciudad condenada a la eterna penumbra.
Postion	Tokenization
1	Y
2	se
3	arrojó
4	al
5	interior
6	del
7	taxi
8	dispuesto
9	a
10	tumbarse
11	tumbar
12	se
13	en
14	el
15	asiento
16	trasero
17	y
18	no
19	ver
20	nada
21	de
22	aquella
23	ciudad
24	condenada
25	a
26	la
27	eterna
28	penumbra
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	3	advmod
2	se	PRON	3	obj
3	arrojó	VERB	0	root
4	al	ADP	5	case
5	interior	NOUN	3	obl
6	del	ADP	7	case
7	taxi	NOUN	5	nmod
8	dispuesto	ADJ	3	obj
9	a	ADP	10	mark
10	tumbarse	_	None	_
11	tumbar	VERB	8	advcl
12	se	PRON	10	expl:pv
13	en	ADP	14	case
14	el	DET	14	det
15	asiento	NOUN	10	obl
16	trasero	ADJ	14	amod
17	y	CCONJ	18	cc
18	no	ADV	18	advmod
19	ver	VERB	10	conj
20	nada	PRON	18	obj
21	de	ADP	22	case
22	aquella	DET	22	det
23	ciudad	NOUN	19	nmod
24	condenada	ADJ	22	amod
25	a	ADP	27	case
26	la	DET	27	det
27	eterna	ADJ	27	amod
28	penumbra	NOUN	23	obj
29	.	PUNCT	3	punct