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:
"Es fantástico haber regresado al club de toda la vida, en el que me formé", señaló Yago, quien tuvo palabras de elogio para su entrenador, Juanjo Azpeitia.
Postion	Tokenization
1	"
2	Es
3	fantástico
4	haber
5	regresado
6	al
7	club
8	de
9	toda
10	la
11	vida
12	,
13	en
14	el
15	que
16	me
17	formé
18	"
19	,
20	señaló
21	Yago
22	,
23	quien
24	tuvo
25	palabras
26	de
27	elogio
28	para
29	su
30	entrenador
31	,
32	Juanjo
33	Azpeitia
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Es	AUX	3	cop
3	fantástico	ADJ	20	ccomp
4	haber	AUX	5	aux
5	regresado	VERB	3	csubj
6	al	ADP	7	case
7	club	NOUN	5	obl
8	de	ADP	11	case
9	toda	DET	10	det
10	la	DET	11	det
11	vida	NOUN	7	nmod
12	,	PUNCT	17	punct
13	en	ADP	15	case
14	el	DET	15	det
15	que	PRON	17	obl
16	me	PRON	17	obj
17	formé	VERB	7	acl
18	"	PUNCT	3	punct
19	,	PUNCT	3	punct
20	señaló	VERB	0	root
21	Yago	PROPN	20	nsubj
22	,	PUNCT	24	punct
23	quien	PRON	24	nsubj
24	tuvo	VERB	21	acl
25	palabras	NOUN	24	obj
26	de	ADP	27	case
27	elogio	NOUN	25	nmod
28	para	ADP	30	case
29	su	DET	30	det
30	entrenador	NOUN	25	nmod
31	,	PUNCT	32	punct
32	Juanjo	PROPN	30	appos
33	Azpeitia	PROPN	32	flat
34	.	PUNCT	20	punct