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:
Iniciativa-Verds ya publicó recientemente un estudio en el que abordaba el mismo asunto y en el que también se concluía con que la presencia de Pujol era muy superior a la de Maragall.
Postion	Tokenization
1	Iniciativa-Verds
2	ya
3	publicó
4	recientemente
5	un
6	estudio
7	en
8	el
9	que
10	abordaba
11	el
12	mismo
13	asunto
14	y
15	en
16	el
17	que
18	también
19	se
20	concluía
21	con
22	que
23	la
24	presencia
25	de
26	Pujol
27	era
28	muy
29	superior
30	a
31	la
32	de
33	Maragall
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Iniciativa-Verds	PROPN	3	nsubj
2	ya	ADV	3	advmod
3	publicó	VERB	0	root
4	recientemente	ADV	3	advmod
5	un	DET	6	det
6	estudio	NOUN	3	obj
7	en	ADP	9	case
8	el	DET	9	det
9	que	PRON	10	obl
10	abordaba	VERB	6	acl
11	el	DET	13	det
12	mismo	DET	11	det
13	asunto	NOUN	10	obj
14	y	CCONJ	20	cc
15	en	ADP	17	case
16	el	DET	17	det
17	que	PRON	20	obl
18	también	ADV	20	advmod
19	se	PRON	20	expl:impers
20	concluía	VERB	10	conj
21	con	ADP	29	mark
22	que	SCONJ	29	mark
23	la	DET	24	det
24	presencia	NOUN	29	nsubj
25	de	ADP	26	case
26	Pujol	PROPN	24	nmod
27	era	AUX	29	cop
28	muy	ADV	29	advmod
29	superior	ADJ	20	advcl
30	a	ADP	31	case
31	la	DET	29	det
32	de	ADP	31	case
33	Maragall	PROPN	31	nmod
34	.	PUNCT	3	punct