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:
"Está claro que Yarnall tiene que ayudarse a sí mismo para superar la situación, pero también debe saber que recibirá la oportunidad de lanzar en las Mayores", comentó Torre.
Postion	Tokenization
1	"
2	Está
3	claro
4	que
5	Yarnall
6	tiene
7	que
8	ayudarse
9	ayudar
10	se
11	a
12	sí
13	mismo
14	para
15	superar
16	la
17	situación
18	,
19	pero
20	también
21	debe
22	saber
23	que
24	recibirá
25	la
26	oportunidad
27	de
28	lanzar
29	en
30	las
31	Mayores
32	"
33	,
34	comentó
35	Torre
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Está	AUX	3	cop
3	claro	ADJ	33	ccomp
4	que	SCONJ	8	mark
5	Yarnall	PROPN	8	nsubj
6	tiene	VERB	3	csubj
7	que	SCONJ	8	cc
8	ayudarse	_	None	_
9	ayudar	VERB	6	conj
10	se	PRON	8	obj
11	a	ADP	11	case
12	sí	PRON	8	obj
13	mismo	ADJ	11	amod
14	para	ADP	14	mark
15	superar	VERB	8	advcl
16	la	DET	16	det
17	situación	NOUN	14	obj
18	,	PUNCT	6	punct
19	pero	CCONJ	21	cc
20	también	ADV	21	advmod
21	debe	AUX	21	aux
22	saber	VERB	3	conj
23	que	SCONJ	23	mark
24	recibirá	VERB	21	ccomp
25	la	DET	25	det
26	oportunidad	NOUN	23	obj
27	de	ADP	27	mark
28	lanzar	VERB	25	acl
29	en	ADP	30	case
30	las	DET	30	det
31	Mayores	PROPN	27	obl
32	"	PUNCT	3	punct
33	,	PUNCT	3	punct
34	comentó	VERB	0	root
35	Torre	PROPN	33	nsubj
36	.	PUNCT	33	punct