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:
Existía entonces un vacío intelectual, una protesta en ciernes y una previsión de cambio que hacían precisa una tarea de reflexión política sin la que hubiera sido mucho más difícil la posterior construcción de la democracia.
Postion	Tokenization
1	Existía
2	entonces
3	un
4	vacío
5	intelectual
6	,
7	una
8	protesta
9	en
10	ciernes
11	y
12	una
13	previsión
14	de
15	cambio
16	que
17	hacían
18	precisa
19	una
20	tarea
21	de
22	reflexión
23	política
24	sin
25	la
26	que
27	hubiera
28	sido
29	mucho
30	más
31	difícil
32	la
33	posterior
34	construcción
35	de
36	la
37	democracia
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Existía	VERB	0	root
2	entonces	ADV	1	advmod
3	un	DET	4	det
4	vacío	NOUN	1	nsubj
5	intelectual	ADJ	4	amod
6	,	PUNCT	8	punct
7	una	DET	8	det
8	protesta	NOUN	4	appos
9	en	ADP	10	case
10	ciernes	NOUN	8	nmod
11	y	CCONJ	13	cc
12	una	DET	13	det
13	previsión	NOUN	4	conj
14	de	ADP	15	case
15	cambio	NOUN	13	nmod
16	que	PRON	17	nsubj
17	hacían	VERB	4	acl
18	precisa	ADJ	17	obj
19	una	DET	20	det
20	tarea	NOUN	17	obj
21	de	ADP	22	case
22	reflexión	NOUN	20	nmod
23	política	ADJ	22	amod
24	sin	ADP	26	case
25	la	DET	26	det
26	que	PRON	31	obl
27	hubiera	AUX	31	aux
28	sido	AUX	31	cop
29	mucho	ADV	31	advmod
30	más	ADV	29	advmod
31	difícil	ADJ	22	acl
32	la	DET	34	det
33	posterior	ADJ	34	amod
34	construcción	NOUN	31	nsubj
35	de	ADP	37	case
36	la	DET	37	det
37	democracia	NOUN	34	nmod
38	.	PUNCT	1	punct