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:
José Ramón Guimaraens ha negado que prestase a Jesús Gil 1.300 millones de pesetas en junio de 1992 para que el club rojiblanco pudiese transformarse en sociedad anónima.
Postion	Tokenization
1	José
2	Ramón
3	Guimaraens
4	ha
5	negado
6	que
7	prestase
8	a
9	Jesús
10	Gil
11	1.300
12	millones
13	de
14	pesetas
15	en
16	junio
17	de
18	1992
19	para
20	que
21	el
22	club
23	rojiblanco
24	pudiese
25	transformarse
26	transformar
27	se
28	en
29	sociedad
30	anónima
31	.
Position	Tokenization	UPOS	Head	Deprel
1	José	PROPN	5	nsubj
2	Ramón	PROPN	1	flat
3	Guimaraens	PROPN	1	flat
4	ha	AUX	5	aux
5	negado	VERB	0	root
6	que	SCONJ	7	mark
7	prestase	VERB	5	ccomp
8	a	ADP	9	case
9	Jesús	PROPN	7	obj
10	Gil	PROPN	9	flat
11	1.300	NUM	12	nummod
12	millones	NOUN	7	obj
13	de	ADP	14	case
14	pesetas	NOUN	12	nmod
15	en	ADP	16	case
16	junio	NOUN	7	obl
17	de	ADP	18	case
18	1992	NUM	16	compound
19	para	ADP	25	mark
20	que	SCONJ	25	mark
21	el	DET	22	det
22	club	NOUN	25	nsubj
23	rojiblanco	ADJ	22	amod
24	pudiese	AUX	25	aux
25	transformarse	_	None	_
26	transformar	VERB	7	advcl
27	se	PRON	25	expl:pv
28	en	ADP	28	case
29	sociedad	NOUN	25	obj
30	anónima	ADJ	28	amod
31	.	PUNCT	5	punct