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:
Según el cine europeo de los 60, Cortina d'Ampezzo era el no va más del après-ski y el vacile, el lugar idóneo para que Capucine luciese la nariz.
Postion	Tokenization
1	Según
2	el
3	cine
4	europeo
5	de
6	los
7	60
8	,
9	Cortina
10	d'Ampezzo
11	era
12	el
13	no
14	va
15	más
16	del
17	après-ski
18	y
19	el
20	vacile
21	,
22	el
23	lugar
24	idóneo
25	para
26	que
27	Capucine
28	luciese
29	la
30	nariz
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	el	DET	3	det
3	cine	NOUN	13	obl
4	europeo	ADJ	3	amod
5	de	ADP	7	case
6	los	DET	7	det
7	60	NUM	3	nummod
8	,	PUNCT	3	punct
9	Cortina	PROPN	13	nsubj
10	d'Ampezzo	PROPN	9	flat
11	era	AUX	13	cop
12	el	DET	13	det
13	no	PART	0	root
14	va	NOUN	13	compound
15	más	ADV	13	compound
16	del	ADP	17	case
17	après-ski	NOUN	13	nmod
18	y	CCONJ	20	cc
19	el	DET	20	det
20	vacile	NOUN	17	conj
21	,	PUNCT	13	punct
22	el	DET	23	det
23	lugar	NOUN	13	appos
24	idóneo	ADJ	23	amod
25	para	ADP	28	mark
26	que	SCONJ	25	fixed
27	Capucine	PROPN	28	nsubj
28	luciese	VERB	24	advcl
29	la	DET	30	det
30	nariz	NOUN	28	obj
31	.	PUNCT	13	punct