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:
Irureta destacó en conferencia de prensa tras el entrenamiento que "hay que apelar, como siempre, a nuestra afición para que venga y apoye al máximo, que nos anime.
Postion	Tokenization
1	Irureta
2	destacó
3	en
4	conferencia
5	de
6	prensa
7	tras
8	el
9	entrenamiento
10	que
11	"
12	hay
13	que
14	apelar
15	,
16	como
17	siempre
18	,
19	a
20	nuestra
21	afición
22	para
23	que
24	venga
25	y
26	apoye
27	al
28	máximo
29	,
30	que
31	nos
32	anime
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Irureta	PROPN	2	nsubj
2	destacó	VERB	0	root
3	en	ADP	4	case
4	conferencia	NOUN	2	obl
5	de	ADP	6	case
6	prensa	NOUN	4	nmod
7	tras	ADP	9	case
8	el	DET	9	det
9	entrenamiento	NOUN	2	obl
10	que	SCONJ	12	mark
11	"	PUNCT	12	punct
12	hay	AUX	2	ccomp
13	que	SCONJ	14	cc
14	apelar	VERB	12	conj
15	,	PUNCT	17	punct
16	como	SCONJ	17	mark
17	siempre	ADV	14	advmod
18	,	PUNCT	17	punct
19	a	ADP	21	case
20	nuestra	DET	21	det
21	afición	NOUN	14	obj
22	para	ADP	24	mark
23	que	SCONJ	24	mark
24	venga	VERB	14	advcl
25	y	CCONJ	26	cc
26	apoye	VERB	24	conj
27	al	ADP	28	case
28	máximo	NOUN	24	obl
29	,	PUNCT	32	punct
30	que	SCONJ	32	mark
31	nos	PRON	32	obj
32	anime	VERB	28	acl
33	.	PUNCT	2	punct