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:
Barcelona se ha convertido, hasta el próximo domingo, en un gran campo de ese deporte, con tres hoyos situados en el Puerto Olímpico, el parque de la Ciutadella y la Font Màgica de Montjüic.
Postion	Tokenization
1	Barcelona
2	se
3	ha
4	convertido
5	,
6	hasta
7	el
8	próximo
9	domingo
10	,
11	en
12	un
13	gran
14	campo
15	de
16	ese
17	deporte
18	,
19	con
20	tres
21	hoyos
22	situados
23	en
24	el
25	Puerto
26	Olímpico
27	,
28	el
29	parque
30	de
31	la
32	Ciutadella
33	y
34	la
35	Font
36	Màgica
37	de
38	Montjüic
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Barcelona	PROPN	4	nsubj
2	se	PRON	4	expl:pv
3	ha	AUX	4	aux
4	convertido	VERB	0	root
5	,	PUNCT	9	punct
6	hasta	ADP	9	case
7	el	DET	9	det
8	próximo	ADJ	9	amod
9	domingo	NOUN	4	obl
10	,	PUNCT	9	punct
11	en	ADP	14	case
12	un	DET	14	det
13	gran	ADJ	14	amod
14	campo	NOUN	4	obj
15	de	ADP	17	case
16	ese	DET	17	det
17	deporte	NOUN	14	nmod
18	,	PUNCT	21	punct
19	con	ADP	21	case
20	tres	NUM	21	nummod
21	hoyos	NOUN	4	obl
22	situados	ADJ	21	amod
23	en	ADP	25	case
24	el	DET	25	det
25	Puerto	PROPN	22	obl
26	Olímpico	PROPN	25	flat
27	,	PUNCT	29	punct
28	el	DET	29	det
29	parque	NOUN	25	appos
30	de	ADP	32	case
31	la	DET	32	det
32	Ciutadella	PROPN	29	nmod
33	y	CCONJ	35	cc
34	la	DET	35	det
35	Font	PROPN	25	conj
36	Màgica	PROPN	35	flat
37	de	ADP	38	case
38	Montjüic	PROPN	35	flat
39	.	PUNCT	4	punct