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:
Antes de que nos demos cuenta se habrá producido un relevo condenado a ser un trauma de hierro y convertido, finalmente, en un tránsito de terciopelo.
Postion	Tokenization
1	Antes
2	de
3	que
4	nos
5	demos
6	cuenta
7	se
8	habrá
9	producido
10	un
11	relevo
12	condenado
13	a
14	ser
15	un
16	trauma
17	de
18	hierro
19	y
20	convertido
21	,
22	finalmente
23	,
24	en
25	un
26	tránsito
27	de
28	terciopelo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Antes	ADV	9	advmod
2	de	ADP	5	mark
3	que	SCONJ	5	mark
4	nos	PRON	5	expl:pv
5	demos	VERB	1	advcl
6	cuenta	NOUN	5	compound
7	se	PRON	9	expl:pv
8	habrá	AUX	9	aux
9	producido	VERB	0	root
10	un	DET	11	det
11	relevo	NOUN	9	nsubj
12	condenado	ADJ	11	amod
13	a	ADP	16	mark
14	ser	AUX	16	cop
15	un	DET	16	det
16	trauma	NOUN	12	xcomp
17	de	ADP	18	case
18	hierro	NOUN	16	nmod
19	y	CCONJ	20	cc
20	convertido	ADJ	12	conj
21	,	PUNCT	22	punct
22	finalmente	ADV	20	obj
23	,	PUNCT	22	punct
24	en	ADP	22	case
25	un	DET	26	det
26	tránsito	NOUN	22	nmod
27	de	ADP	28	case
28	terciopelo	NOUN	26	nmod
29	.	PUNCT	9	punct