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:
En el 38, Bonano se lució al desviar un cabezazo de Rivarola que iba adentro, en la ocasión más clara que tuvo la "U" para irse al descanso en ventaja.
Postion	Tokenization
1	En
2	el
3	38
4	,
5	Bonano
6	se
7	lució
8	al
9	desviar
10	un
11	cabezazo
12	de
13	Rivarola
14	que
15	iba
16	adentro
17	,
18	en
19	la
20	ocasión
21	más
22	clara
23	que
24	tuvo
25	la
26	"
27	U
28	"
29	para
30	irse
31	ir
32	se
33	al
34	descanso
35	en
36	ventaja
37	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	38	NUM	7	obl
4	,	PUNCT	3	punct
5	Bonano	PROPN	7	nsubj
6	se	PRON	7	expl:pv
7	lució	VERB	0	root
8	al	ADP	9	mark
9	desviar	VERB	7	advcl
10	un	DET	11	det
11	cabezazo	NOUN	9	obj
12	de	ADP	13	case
13	Rivarola	PROPN	11	nmod
14	que	PRON	15	nsubj
15	iba	VERB	11	acl
16	adentro	ADV	15	advmod
17	,	PUNCT	20	punct
18	en	ADP	20	case
19	la	DET	20	det
20	ocasión	NOUN	9	obl
21	más	ADV	22	advmod
22	clara	ADJ	20	amod
23	que	PRON	24	obj
24	tuvo	VERB	20	acl
25	la	DET	27	det
26	"	PUNCT	27	punct
27	U	PROPN	24	nsubj
28	"	PUNCT	27	punct
29	para	ADP	30	mark
30	irse	_	None	_
31	ir	VERB	24	advcl
32	se	PRON	30	expl:pv
33	al	ADP	33	case
34	descanso	NOUN	30	obl
35	en	ADP	35	case
36	ventaja	NOUN	30	obl
37	.	PUNCT	7	punct