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:
Este se retrasó a la posición de Gerard, como pivote organizador por la izquierda, y el jugador catalán se desplazó un poco a la derecha para situarse en el puesto de Milla.
Postion	Tokenization
1	Este
2	se
3	retrasó
4	a
5	la
6	posición
7	de
8	Gerard
9	,
10	como
11	pivote
12	organizador
13	por
14	la
15	izquierda
16	,
17	y
18	el
19	jugador
20	catalán
21	se
22	desplazó
23	un
24	poco
25	a
26	la
27	derecha
28	para
29	situarse
30	situar
31	se
32	en
33	el
34	puesto
35	de
36	Milla
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	PRON	3	nsubj
2	se	PRON	3	expl:pv
3	retrasó	VERB	0	root
4	a	ADP	6	case
5	la	DET	6	det
6	posición	NOUN	3	obl
7	de	ADP	8	case
8	Gerard	PROPN	6	nmod
9	,	PUNCT	11	punct
10	como	SCONJ	11	mark
11	pivote	NOUN	3	obj
12	organizador	ADJ	11	amod
13	por	ADP	15	case
14	la	DET	15	det
15	izquierda	NOUN	11	nmod
16	,	PUNCT	11	punct
17	y	CCONJ	22	cc
18	el	DET	19	det
19	jugador	NOUN	22	nsubj
20	catalán	ADJ	19	amod
21	se	PRON	22	expl:pv
22	desplazó	VERB	3	conj
23	un	DET	22	advmod
24	poco	ADV	23	fixed
25	a	ADP	23	case
26	la	DET	27	det
27	derecha	NOUN	23	nmod
28	para	ADP	29	mark
29	situarse	_	None	_
30	situar	VERB	22	advcl
31	se	PRON	29	expl:pv
32	en	ADP	35	case
33	el	DET	31	fixed
34	puesto	NOUN	31	fixed
35	de	ADP	31	fixed
36	Milla	PROPN	29	obl
37	.	PUNCT	3	punct