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:
Eso sí, Jordi Millera, un barcelonés formado en el Bosco Horta y en Granollers a la sombra de Joan Creus, recogió la Copa como capitán del Tau.
Postion	Tokenization
1	Eso
2	sí
3	,
4	Jordi
5	Millera
6	,
7	un
8	barcelonés
9	formado
10	en
11	el
12	Bosco
13	Horta
14	y
15	en
16	Granollers
17	a
18	la
19	sombra
20	de
21	Joan
22	Creus
23	,
24	recogió
25	la
26	Copa
27	como
28	capitán
29	del
30	Tau
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Eso	NOUN	24	advmod
2	sí	NOUN	1	fixed
3	,	PUNCT	1	punct
4	Jordi	PROPN	24	nsubj
5	Millera	PROPN	4	flat
6	,	PUNCT	8	punct
7	un	DET	8	det
8	barcelonés	NOUN	4	appos
9	formado	ADJ	8	amod
10	en	ADP	12	case
11	el	DET	12	det
12	Bosco	PROPN	9	obl
13	Horta	PROPN	12	flat
14	y	CCONJ	16	cc
15	en	ADP	16	case
16	Granollers	PROPN	12	conj
17	a	ADP	19	case
18	la	DET	19	det
19	sombra	NOUN	9	obl
20	de	ADP	21	case
21	Joan	PROPN	19	nmod
22	Creus	PROPN	21	flat
23	,	PUNCT	8	punct
24	recogió	VERB	0	root
25	la	DET	26	det
26	Copa	PROPN	24	obj
27	como	SCONJ	28	mark
28	capitán	NOUN	24	obj
29	del	ADP	30	case
30	Tau	PROPN	28	nmod
31	.	PUNCT	24	punct