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 volumen de negociación alcanzó los 165.476 millones de pesetas, pero en un marco general de poca liquidez y dificultades para vender, ya que la mayor parte de la contratación afectó a cinco valores: BBV (32.542 millones), Telefónica (27.609), Santander (19.664), Repsol (12.650) y Endesa (11.532).
Postion	Tokenization
1	El
2	volumen
3	de
4	negociación
5	alcanzó
6	los
7	165.476
8	millones
9	de
10	pesetas
11	,
12	pero
13	en
14	un
15	marco
16	general
17	de
18	poca
19	liquidez
20	y
21	dificultades
22	para
23	vender
24	,
25	ya
26	que
27	la
28	mayor
29	parte
30	de
31	la
32	contratación
33	afectó
34	a
35	cinco
36	valores
37	:
38	BBV
39	(
40	32.542
41	millones
42	)
43	,
44	Telefónica
45	(
46	27.609
47	)
48	,
49	Santander
50	(
51	19.664
52	)
53	,
54	Repsol
55	(
56	12.650
57	)
58	y
59	Endesa
60	(
61	11.532
62	)
63	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	volumen	NOUN	5	nsubj
3	de	ADP	4	case
4	negociación	NOUN	2	nmod
5	alcanzó	VERB	0	root
6	los	DET	7	det
7	165.476	NUM	8	nummod
8	millones	NOUN	5	obj
9	de	ADP	10	case
10	pesetas	NOUN	8	nmod
11	,	PUNCT	33	punct
12	pero	CCONJ	33	cc
13	en	ADP	15	case
14	un	DET	15	det
15	marco	NOUN	33	obl
16	general	ADJ	15	amod
17	de	ADP	19	case
18	poca	DET	19	det
19	liquidez	NOUN	15	nmod
20	y	CCONJ	21	cc
21	dificultades	NOUN	19	conj
22	para	ADP	23	mark
23	vender	VERB	21	acl
24	,	PUNCT	33	punct
25	ya	ADV	33	mark
26	que	SCONJ	25	fixed
27	la	DET	29	det
28	mayor	ADJ	29	amod
29	parte	NOUN	33	nsubj
30	de	ADP	32	case
31	la	DET	32	det
32	contratación	NOUN	29	nmod
33	afectó	VERB	5	conj
34	a	ADP	36	case
35	cinco	NUM	36	nummod
36	valores	NOUN	33	obj
37	:	PUNCT	38	punct
38	BBV	PROPN	36	appos
39	(	PUNCT	41	punct
40	32.542	NUM	41	nummod
41	millones	NOUN	38	appos
42	)	PUNCT	41	punct
43	,	PUNCT	44	punct
44	Telefónica	PROPN	38	flat
45	(	PUNCT	46	punct
46	27.609	NUM	44	appos
47	)	PUNCT	46	punct
48	,	PUNCT	49	punct
49	Santander	PROPN	38	flat
50	(	PUNCT	51	punct
51	19.664	NUM	49	appos
52	)	PUNCT	51	punct
53	,	PUNCT	54	punct
54	Repsol	PROPN	38	flat
55	(	PUNCT	56	punct
56	12.650	NUM	54	appos
57	)	PUNCT	56	punct
58	y	CCONJ	59	cc
59	Endesa	PROPN	38	conj
60	(	PUNCT	61	punct
61	11.532	NUM	59	appos
62	)	PUNCT	61	punct
63	.	PUNCT	5	punct