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:
Después de una temporada en blanco, tras la etapa de Pinturas Bruguer, el presidente Jordi Villacampa presentará este mediodía a DKV Seguros, la filial española del grupo alemán DKV (el más importante en Europa de seguros médicos), como primer espónsor del equipo.
Postion	Tokenization
1	Después
2	de
3	una
4	temporada
5	en
6	blanco
7	,
8	tras
9	la
10	etapa
11	de
12	Pinturas
13	Bruguer
14	,
15	el
16	presidente
17	Jordi
18	Villacampa
19	presentará
20	este
21	mediodía
22	a
23	DKV
24	Seguros
25	,
26	la
27	filial
28	española
29	del
30	grupo
31	alemán
32	DKV
33	(
34	el
35	más
36	importante
37	en
38	Europa
39	de
40	seguros
41	médicos
42	)
43	,
44	como
45	primer
46	espónsor
47	del
48	equipo
49	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	19	advmod
2	de	ADP	4	case
3	una	DET	4	det
4	temporada	NOUN	1	obl
5	en	ADP	6	case
6	blanco	NOUN	4	nmod
7	,	PUNCT	1	punct
8	tras	ADP	10	case
9	la	DET	10	det
10	etapa	NOUN	19	obl
11	de	ADP	12	case
12	Pinturas	PROPN	10	nmod
13	Bruguer	PROPN	12	flat
14	,	PUNCT	10	punct
15	el	DET	16	det
16	presidente	NOUN	19	nsubj
17	Jordi	PROPN	16	appos
18	Villacampa	PROPN	17	flat
19	presentará	VERB	0	root
20	este	DET	21	det
21	mediodía	NOUN	19	obl
22	a	ADP	23	case
23	DKV	PROPN	19	obj
24	Seguros	PROPN	23	flat
25	,	PUNCT	27	punct
26	la	DET	27	det
27	filial	NOUN	23	appos
28	española	ADJ	27	amod
29	del	ADP	30	case
30	grupo	NOUN	27	nmod
31	alemán	ADJ	30	amod
32	DKV	PROPN	30	appos
33	(	PUNCT	36	punct
34	el	DET	36	det
35	más	ADV	36	advmod
36	importante	ADJ	30	appos
37	en	ADP	38	case
38	Europa	PROPN	36	nmod
39	de	ADP	40	case
40	seguros	NOUN	36	nmod
41	médicos	ADJ	40	amod
42	)	PUNCT	36	punct
43	,	PUNCT	27	punct
44	como	SCONJ	46	mark
45	primer	ADJ	46	amod
46	espónsor	NOUN	23	nmod
47	del	ADP	48	case
48	equipo	NOUN	46	nmod
49	.	PUNCT	19	punct