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:
Como en los buenos tiempos de Ignacio Ribó y Oriol Regàs, las calles cercanas estaban rebosantes de coches y las dos plantas del club eran un hervidero de cuerpos intentando, toda una misión imposible, afianzarse en algún sitio para dedicarse al noble deporte nocturno de la observación.
Postion	Tokenization
1	Como
2	en
3	los
4	buenos
5	tiempos
6	de
7	Ignacio
8	Ribó
9	y
10	Oriol
11	Regàs
12	,
13	las
14	calles
15	cercanas
16	estaban
17	rebosantes
18	de
19	coches
20	y
21	las
22	dos
23	plantas
24	del
25	club
26	eran
27	un
28	hervidero
29	de
30	cuerpos
31	intentando
32	,
33	toda
34	una
35	misión
36	imposible
37	,
38	afianzarse
39	afianzar
40	se
41	en
42	algún
43	sitio
44	para
45	dedicarse
46	dedicar
47	se
48	al
49	noble
50	deporte
51	nocturno
52	de
53	la
54	observación
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	5	mark
2	en	ADP	5	case
3	los	DET	5	det
4	buenos	ADJ	5	amod
5	tiempos	NOUN	0	root
6	de	ADP	7	case
7	Ignacio	PROPN	5	nmod
8	Ribó	PROPN	7	flat
9	y	CCONJ	10	cc
10	Oriol	PROPN	7	conj
11	Regàs	PROPN	10	flat
12	,	PUNCT	5	punct
13	las	DET	14	det
14	calles	NOUN	17	nsubj
15	cercanas	ADJ	14	amod
16	estaban	AUX	17	cop
17	rebosantes	ADJ	5	acl
18	de	ADP	19	case
19	coches	NOUN	17	nmod
20	y	CCONJ	28	cc
21	las	DET	23	det
22	dos	NUM	21	nummod
23	plantas	NOUN	28	nsubj
24	del	ADP	25	case
25	club	NOUN	23	nmod
26	eran	AUX	28	cop
27	un	DET	28	det
28	hervidero	NOUN	17	conj
29	de	ADP	30	case
30	cuerpos	NOUN	28	nmod
31	intentando	VERB	28	acl
32	,	PUNCT	35	punct
33	toda	DET	35	det
34	una	DET	33	det
35	misión	NOUN	31	obj
36	imposible	ADJ	35	amod
37	,	PUNCT	35	punct
38	afianzarse	_	None	_
39	afianzar	VERB	31	xcomp
40	se	PRON	38	obj
41	en	ADP	42	case
42	algún	DET	42	det
43	sitio	NOUN	31	obl
44	para	ADP	44	mark
45	dedicarse	_	None	_
46	dedicar	VERB	38	advcl
47	se	PRON	44	expl:pv
48	al	ADP	48	case
49	noble	ADJ	48	amod
50	deporte	NOUN	44	obj
51	nocturno	ADJ	48	amod
52	de	ADP	52	case
53	la	DET	52	det
54	observación	NOUN	48	nmod
55	.	PUNCT	5	punct