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:
El largo desfile de rostros juveniles no se deja llevar tampoco de sentirse algo protagonista de la odisea contada por el director americano.
Postion	Tokenization
1	El
2	largo
3	desfile
4	de
5	rostros
6	juveniles
7	no
8	se
9	deja
10	llevar
11	tampoco
12	de
13	sentirse
14	sentir
15	se
16	algo
17	protagonista
18	de
19	la
20	odisea
21	contada
22	por
23	el
24	director
25	americano
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	largo	ADJ	3	amod
3	desfile	NOUN	9	nsubj
4	de	ADP	5	case
5	rostros	NOUN	3	nmod
6	juveniles	ADJ	5	amod
7	no	ADV	9	advmod
8	se	PRON	9	iobj
9	deja	VERB	0	root
10	llevar	VERB	9	xcomp
11	tampoco	ADV	9	advmod
12	de	ADP	13	mark
13	sentirse	_	None	_
14	sentir	VERB	10	advcl
15	se	PRON	13	expl:pv
16	algo	ADV	16	advmod
17	protagonista	NOUN	13	obl
18	de	ADP	19	case
19	la	DET	19	det
20	odisea	NOUN	16	nmod
21	contada	ADJ	19	amod
22	por	ADP	23	case
23	el	DET	23	det
24	director	NOUN	20	obj
25	americano	ADJ	23	amod
26	.	PUNCT	9	punct