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:
Hola, desconocido, de Javier Rebollo, y Pasternak, un cuento de Navidad, de Iñaki Elizalde, optarán a situarse entre los cinco candidatos al Oscar al mejor corto.
Postion	Tokenization
1	Hola
2	,
3	desconocido
4	,
5	de
6	Javier
7	Rebollo
8	,
9	y
10	Pasternak
11	,
12	un
13	cuento
14	de
15	Navidad
16	,
17	de
18	Iñaki
19	Elizalde
20	,
21	optarán
22	a
23	situarse
24	situar
25	se
26	entre
27	los
28	cinco
29	candidatos
30	al
31	Oscar
32	al
33	mejor
34	corto
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Hola	PROPN	21	nsubj
2	,	PUNCT	1	punct
3	desconocido	PROPN	1	flat
4	,	PUNCT	6	punct
5	de	ADP	6	case
6	Javier	PROPN	1	nmod
7	Rebollo	PROPN	6	flat
8	,	PUNCT	6	punct
9	y	CCONJ	10	cc
10	Pasternak	PROPN	1	conj
11	,	PUNCT	13	punct
12	un	DET	13	det
13	cuento	NOUN	10	appos
14	de	ADP	15	case
15	Navidad	PROPN	13	nmod
16	,	PUNCT	13	punct
17	de	ADP	18	case
18	Iñaki	PROPN	10	nmod
19	Elizalde	PROPN	18	flat
20	,	PUNCT	1	punct
21	optarán	VERB	0	root
22	a	ADP	23	mark
23	situarse	_	None	_
24	situar	VERB	21	xcomp
25	se	PRON	23	expl:pv
26	entre	ADP	28	case
27	los	DET	28	det
28	cinco	NUM	26	nummod
29	candidatos	NOUN	23	obl
30	al	ADP	30	case
31	Oscar	PROPN	28	nmod
32	al	ADP	33	case
33	mejor	ADJ	33	amod
34	corto	NOUN	30	nmod
35	.	PUNCT	21	punct