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:
Tenía 79 años y un largo y exitoso pasado en su país con el San Lorenzo de Almagro y en Italia con el Juventus.
Postion	Tokenization
1	Tenía
2	79
3	años
4	y
5	un
6	largo
7	y
8	exitoso
9	pasado
10	en
11	su
12	país
13	con
14	el
15	San
16	Lorenzo
17	de
18	Almagro
19	y
20	en
21	Italia
22	con
23	el
24	Juventus
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Tenía	VERB	0	root
2	79	NUM	3	nummod
3	años	NOUN	1	obj
4	y	CCONJ	9	cc
5	un	DET	9	det
6	largo	ADJ	9	amod
7	y	CCONJ	8	cc
8	exitoso	ADJ	6	conj
9	pasado	NOUN	3	conj
10	en	ADP	12	case
11	su	DET	12	det
12	país	NOUN	9	nmod
13	con	ADP	15	case
14	el	DET	15	det
15	San	PROPN	12	nmod
16	Lorenzo	PROPN	15	flat
17	de	ADP	18	case
18	Almagro	PROPN	15	flat
19	y	CCONJ	21	cc
20	en	ADP	21	case
21	Italia	PROPN	12	conj
22	con	ADP	24	case
23	el	DET	24	det
24	Juventus	PROPN	21	nmod
25	.	PUNCT	1	punct