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:
"A la selección puedo aportarle lo mejor como defensa central y no como lateral, porque hace bastante no juego ahí y además no me siento bien en ese puesto.
Postion	Tokenization
1	"
2	A
3	la
4	selección
5	puedo
6	aportarle
7	aportar
8	le
9	lo
10	mejor
11	como
12	defensa
13	central
14	y
15	no
16	como
17	lateral
18	,
19	porque
20	hace
21	bastante
22	no
23	juego
24	ahí
25	y
26	además
27	no
28	me
29	siento
30	bien
31	en
32	ese
33	puesto
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	A	ADP	4	case
3	la	DET	4	det
4	selección	NOUN	6	obj
5	puedo	AUX	6	aux
6	aportarle	_	None	_
7	aportar	VERB	0	root
8	le	PRON	6	obj
9	lo	PRON	9	det
10	mejor	ADJ	6	obj
11	como	SCONJ	11	mark
12	defensa	NOUN	9	nmod
13	central	ADJ	11	amod
14	y	CCONJ	22	cc
15	no	ADV	22	advmod
16	como	SCONJ	16	mark
17	lateral	ADJ	22	advmod
18	,	PUNCT	22	punct
19	porque	SCONJ	22	mark
20	hace	VERB	22	advcl
21	bastante	ADV	19	obj
22	no	ADV	22	advmod
23	juego	VERB	6	conj
24	ahí	ADV	22	advmod
25	y	CCONJ	28	cc
26	además	ADV	28	advmod
27	no	ADV	28	advmod
28	me	PRON	28	expl:pv
29	siento	VERB	22	conj
30	bien	ADV	28	obj
31	en	ADP	32	case
32	ese	DET	32	det
33	puesto	NOUN	28	obl
34	.	PUNCT	6	punct