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:
En el año de la revitalización del baloncesto español, con el quinto puesto de la selección en el Mundobasket, la final entre el Tau y el Caja San Fernando frenó esta euforia.
Postion	Tokenization
1	En
2	el
3	año
4	de
5	la
6	revitalización
7	del
8	baloncesto
9	español
10	,
11	con
12	el
13	quinto
14	puesto
15	de
16	la
17	selección
18	en
19	el
20	Mundobasket
21	,
22	la
23	final
24	entre
25	el
26	Tau
27	y
28	el
29	Caja
30	San
31	Fernando
32	frenó
33	esta
34	euforia
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	año	NOUN	32	obl
4	de	ADP	6	case
5	la	DET	6	det
6	revitalización	NOUN	3	nmod
7	del	ADP	8	case
8	baloncesto	NOUN	6	nmod
9	español	ADJ	8	amod
10	,	PUNCT	14	punct
11	con	ADP	14	case
12	el	DET	14	det
13	quinto	ADJ	14	amod
14	puesto	NOUN	6	nmod
15	de	ADP	17	case
16	la	DET	17	det
17	selección	NOUN	14	nmod
18	en	ADP	20	case
19	el	DET	20	det
20	Mundobasket	PROPN	14	nmod
21	,	PUNCT	14	punct
22	la	DET	23	det
23	final	NOUN	32	nsubj
24	entre	ADP	26	case
25	el	DET	26	det
26	Tau	PROPN	23	nmod
27	y	CCONJ	29	cc
28	el	DET	29	det
29	Caja	PROPN	26	conj
30	San	PROPN	29	flat
31	Fernando	PROPN	29	flat
32	frenó	VERB	0	root
33	esta	DET	34	det
34	euforia	NOUN	32	obj
35	.	PUNCT	32	punct