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:
Infante destaca la generosidad de Fedrico Luppi, "un actor que ya no tiene nada que probar y que es una inspiración para todos".
Postion	Tokenization
1	Infante
2	destaca
3	la
4	generosidad
5	de
6	Fedrico
7	Luppi
8	,
9	"
10	un
11	actor
12	que
13	ya
14	no
15	tiene
16	nada
17	que
18	probar
19	y
20	que
21	es
22	una
23	inspiración
24	para
25	todos
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Infante	PROPN	2	nsubj
2	destaca	VERB	0	root
3	la	DET	4	det
4	generosidad	NOUN	2	obj
5	de	ADP	6	case
6	Fedrico	PROPN	4	nmod
7	Luppi	PROPN	6	flat
8	,	PUNCT	11	punct
9	"	PUNCT	11	punct
10	un	DET	11	det
11	actor	NOUN	6	appos
12	que	PRON	15	nsubj
13	ya	ADV	15	advmod
14	no	ADV	15	advmod
15	tiene	VERB	11	acl
16	nada	PRON	15	obj
17	que	PRON	18	obj
18	probar	VERB	16	acl
19	y	CCONJ	23	cc
20	que	PRON	23	nsubj
21	es	AUX	23	cop
22	una	DET	23	det
23	inspiración	NOUN	15	conj
24	para	ADP	25	case
25	todos	PRON	23	obl
26	"	PUNCT	11	punct
27	.	PUNCT	2	punct