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:
La censura se encargaba de acallar cualquier voz altisonante que pudiera dañar el régimen de Franco y sus instituciones, salvo Radio Pirenaica, que era seguida con gran atención por los más concienciados políticamente.
Postion	Tokenization
1	La
2	censura
3	se
4	encargaba
5	de
6	acallar
7	cualquier
8	voz
9	altisonante
10	que
11	pudiera
12	dañar
13	el
14	régimen
15	de
16	Franco
17	y
18	sus
19	instituciones
20	,
21	salvo
22	Radio
23	Pirenaica
24	,
25	que
26	era
27	seguida
28	con
29	gran
30	atención
31	por
32	los
33	más
34	concienciados
35	políticamente
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	censura	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	encargaba	VERB	0	root
5	de	ADP	6	mark
6	acallar	VERB	4	xcomp
7	cualquier	DET	8	det
8	voz	NOUN	6	obj
9	altisonante	ADJ	8	amod
10	que	PRON	12	nsubj
11	pudiera	AUX	12	aux
12	dañar	VERB	8	acl
13	el	DET	14	det
14	régimen	NOUN	12	obj
15	de	ADP	16	case
16	Franco	PROPN	14	nmod
17	y	CCONJ	19	cc
18	sus	DET	19	det
19	instituciones	NOUN	14	conj
20	,	PUNCT	22	punct
21	salvo	ADP	22	case
22	Radio	PROPN	19	nmod
23	Pirenaica	PROPN	22	flat
24	,	PUNCT	27	punct
25	que	PRON	27	nsubj
26	era	AUX	27	aux
27	seguida	VERB	22	acl
28	con	ADP	30	case
29	gran	ADJ	30	amod
30	atención	NOUN	27	obl
31	por	ADP	34	case
32	los	DET	34	det
33	más	ADV	34	advmod
34	concienciados	ADJ	27	obj
35	políticamente	ADV	34	advmod
36	.	PUNCT	4	punct