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:
Hace 20 años estrenaron su primer montaje y, al parecer, ya entonces tenían las ideas bastante claras porque no han dejado de trabajar ni de crear propuestas nuevas.
Postion	Tokenization
1	Hace
2	20
3	años
4	estrenaron
5	su
6	primer
7	montaje
8	y
9	,
10	al
11	parecer
12	,
13	ya
14	entonces
15	tenían
16	las
17	ideas
18	bastante
19	claras
20	porque
21	no
22	han
23	dejado
24	de
25	trabajar
26	ni
27	de
28	crear
29	propuestas
30	nuevas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Hace	VERB	4	advcl
2	20	NUM	3	nummod
3	años	NOUN	1	obj
4	estrenaron	VERB	0	root
5	su	DET	7	det
6	primer	ADJ	7	amod
7	montaje	NOUN	4	obj
8	y	CCONJ	15	cc
9	,	PUNCT	10	punct
10	al	ADP	15	advmod
11	parecer	NOUN	10	fixed
12	,	PUNCT	10	punct
13	ya	ADV	15	advmod
14	entonces	ADV	15	advmod
15	tenían	VERB	4	conj
16	las	DET	17	det
17	ideas	NOUN	15	obj
18	bastante	ADV	19	advmod
19	claras	ADJ	17	amod
20	porque	SCONJ	23	mark
21	no	ADV	23	advmod
22	han	AUX	23	aux
23	dejado	VERB	15	advcl
24	de	ADP	25	mark
25	trabajar	VERB	23	xcomp
26	ni	CCONJ	28	cc
27	de	ADP	28	mark
28	crear	VERB	25	conj
29	propuestas	NOUN	28	obj
30	nuevas	ADJ	29	amod
31	.	PUNCT	4	punct