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:
El jugador del Inter italiano se negó a dialogar con la prensa tras la audiencia y Petrone se limitó a decir que el regalo de su amigo "se dañó quince días después"
Postion	Tokenization
1	El
2	jugador
3	del
4	Inter
5	italiano
6	se
7	negó
8	a
9	dialogar
10	con
11	la
12	prensa
13	tras
14	la
15	audiencia
16	y
17	Petrone
18	se
19	limitó
20	a
21	decir
22	que
23	el
24	regalo
25	de
26	su
27	amigo
28	"
29	se
30	dañó
31	quince
32	días
33	después
34	"
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	jugador	NOUN	7	nsubj
3	del	ADP	4	case
4	Inter	PROPN	2	nmod
5	italiano	ADJ	2	amod
6	se	PRON	7	expl:pv
7	negó	VERB	0	root
8	a	ADP	9	mark
9	dialogar	VERB	7	xcomp
10	con	ADP	12	case
11	la	DET	12	det
12	prensa	NOUN	9	obj
13	tras	ADP	15	case
14	la	DET	15	det
15	audiencia	NOUN	9	obl
16	y	CCONJ	19	cc
17	Petrone	PROPN	19	nsubj
18	se	PRON	19	expl:pv
19	limitó	VERB	7	conj
20	a	ADP	21	mark
21	decir	VERB	19	ccomp
22	que	SCONJ	30	mark
23	el	DET	24	det
24	regalo	NOUN	30	nsubj
25	de	ADP	27	case
26	su	DET	27	det
27	amigo	NOUN	24	nmod
28	"	PUNCT	30	punct
29	se	PRON	30	expl:pv
30	dañó	VERB	21	ccomp
31	quince	NUM	32	nummod
32	días	NOUN	33	obl
33	después	ADV	30	advmod
34	"	PUNCT	30	punct