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:
El grupo Auna, propietario de la plataforma, ha intentado en los últimos meses vendérsela la a Prisa y a Telefónica, pero el agujero de 150 millones de euros (25.000 millones de pesetas) que tiene la compañía y las presiones del Gobierno han entorpecido las negociaciones.
Postion	Tokenization
1	El
2	grupo
3	Auna
4	,
5	propietario
6	de
7	la
8	plataforma
9	,
10	ha
11	intentado
12	en
13	los
14	últimos
15	meses
16	vendérsela
17	vender
18	se
19	la
20	a
21	Prisa
22	y
23	a
24	Telefónica
25	,
26	pero
27	el
28	agujero
29	de
30	150
31	millones
32	de
33	euros
34	(
35	25.000
36	millones
37	de
38	pesetas
39	)
40	que
41	tiene
42	la
43	compañía
44	y
45	las
46	presiones
47	del
48	Gobierno
49	han
50	entorpecido
51	las
52	negociaciones
53	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	grupo	NOUN	11	nsubj
3	Auna	PROPN	2	appos
4	,	PUNCT	5	punct
5	propietario	ADJ	2	amod
6	de	ADP	8	case
7	la	DET	8	det
8	plataforma	NOUN	5	nmod
9	,	PUNCT	5	punct
10	ha	AUX	11	aux
11	intentado	VERB	0	root
12	en	ADP	15	case
13	los	DET	15	det
14	últimos	ADJ	15	amod
15	meses	NOUN	11	obl
16	vendérsela	_	None	_
17	vender	VERB	11	xcomp
18	se	PRON	16	iobj
19	la	PRON	16	iobj
20	a	ADP	20	case
21	Prisa	PROPN	16	obj
22	y	CCONJ	23	cc
23	a	ADP	23	case
24	Telefónica	PROPN	20	conj
25	,	PUNCT	49	punct
26	pero	CCONJ	49	cc
27	el	DET	27	det
28	agujero	NOUN	49	nsubj
29	de	ADP	30	case
30	150	NUM	30	nummod
31	millones	NOUN	27	nmod
32	de	ADP	32	case
33	euros	NOUN	30	nmod
34	(	PUNCT	35	punct
35	25.000	NUM	35	nummod
36	millones	NOUN	30	appos
37	de	ADP	37	case
38	pesetas	NOUN	35	nmod
39	)	PUNCT	35	punct
40	que	PRON	40	obj
41	tiene	VERB	27	acl
42	la	DET	42	det
43	compañía	NOUN	40	nsubj
44	y	CCONJ	45	cc
45	las	DET	45	det
46	presiones	NOUN	27	conj
47	del	ADP	47	case
48	Gobierno	PROPN	45	nmod
49	han	AUX	49	aux
50	entorpecido	VERB	11	conj
51	las	DET	51	det
52	negociaciones	NOUN	49	obj
53	.	PUNCT	11	punct