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:
La década de los años 90 había resultado improductiva para el motociclismo español, acostumbrado desde finales de los 60 a descorchar botellas de cava y coleccionar coronas de campeón.
Postion	Tokenization
1	La
2	década
3	de
4	los
5	años
6	90
7	había
8	resultado
9	improductiva
10	para
11	el
12	motociclismo
13	español
14	,
15	acostumbrado
16	desde
17	finales
18	de
19	los
20	60
21	a
22	descorchar
23	botellas
24	de
25	cava
26	y
27	coleccionar
28	coronas
29	de
30	campeón
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	década	NOUN	8	nsubj
3	de	ADP	5	case
4	los	DET	5	det
5	años	NOUN	2	nmod
6	90	NUM	5	compound
7	había	AUX	8	aux
8	resultado	VERB	0	root
9	improductiva	ADJ	8	obj
10	para	ADP	12	case
11	el	DET	12	det
12	motociclismo	NOUN	9	nmod
13	español	ADJ	12	amod
14	,	PUNCT	15	punct
15	acostumbrado	ADJ	12	amod
16	desde	ADP	17	case
17	finales	NOUN	15	obl
18	de	ADP	20	case
19	los	DET	20	det
20	60	NOUN	17	nmod
21	a	ADP	22	mark
22	descorchar	VERB	15	xcomp
23	botellas	NOUN	22	obj
24	de	ADP	25	case
25	cava	NOUN	23	nmod
26	y	CCONJ	27	cc
27	coleccionar	VERB	22	conj
28	coronas	NOUN	27	obj
29	de	ADP	30	case
30	campeón	NOUN	28	nmod
31	.	PUNCT	8	punct