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:
También se mostró partidario de aplicar el denominado "modelo regata", que da prioridad de entrada a aquellos países que "mejor están preparados" por encima de grupos preseleccionados.
Postion	Tokenization
1	También
2	se
3	mostró
4	partidario
5	de
6	aplicar
7	el
8	denominado
9	"
10	modelo
11	regata
12	"
13	,
14	que
15	da
16	prioridad
17	de
18	entrada
19	a
20	aquellos
21	países
22	que
23	"
24	mejor
25	están
26	preparados
27	"
28	por
29	encima
30	de
31	grupos
32	preseleccionados
33	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	3	advmod
2	se	PRON	3	expl:pv
3	mostró	VERB	0	root
4	partidario	ADJ	3	obj
5	de	ADP	6	mark
6	aplicar	VERB	4	acl
7	el	DET	10	det
8	denominado	ADJ	10	amod
9	"	PUNCT	10	punct
10	modelo	NOUN	6	obj
11	regata	NOUN	10	nmod
12	"	PUNCT	10	punct
13	,	PUNCT	15	punct
14	que	PRON	15	nsubj
15	da	VERB	10	acl
16	prioridad	NOUN	15	obj
17	de	ADP	18	case
18	entrada	NOUN	16	nmod
19	a	ADP	21	case
20	aquellos	DET	21	det
21	países	NOUN	15	obj
22	que	PRON	26	nsubj
23	"	PUNCT	26	punct
24	mejor	ADV	26	advmod
25	están	AUX	26	cop
26	preparados	ADJ	21	acl
27	"	PUNCT	26	punct
28	por	ADP	31	case
29	encima	ADV	28	fixed
30	de	ADP	28	fixed
31	grupos	NOUN	15	obl
32	preseleccionados	ADJ	31	amod
33	.	PUNCT	3	punct