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:
"Creo que en ambos dirigentes existe un deseo sincero de cambiar el marco de la violencia por un escenario de democracia", afirmó Bru de Sala.
Postion	Tokenization
1	"
2	Creo
3	que
4	en
5	ambos
6	dirigentes
7	existe
8	un
9	deseo
10	sincero
11	de
12	cambiar
13	el
14	marco
15	de
16	la
17	violencia
18	por
19	un
20	escenario
21	de
22	democracia
23	"
24	,
25	afirmó
26	Bru
27	de
28	Sala
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Creo	VERB	25	ccomp
3	que	SCONJ	7	mark
4	en	ADP	6	case
5	ambos	NUM	6	nummod
6	dirigentes	NOUN	7	obl
7	existe	VERB	2	ccomp
8	un	DET	9	det
9	deseo	NOUN	7	nsubj
10	sincero	ADJ	9	amod
11	de	ADP	12	mark
12	cambiar	VERB	9	acl
13	el	DET	14	det
14	marco	NOUN	12	obj
15	de	ADP	17	case
16	la	DET	17	det
17	violencia	NOUN	14	nmod
18	por	ADP	20	case
19	un	DET	20	det
20	escenario	NOUN	12	obl
21	de	ADP	22	case
22	democracia	NOUN	20	nmod
23	"	PUNCT	2	punct
24	,	PUNCT	2	punct
25	afirmó	VERB	0	root
26	Bru	PROPN	25	nsubj
27	de	ADP	28	case
28	Sala	PROPN	26	flat
29	.	PUNCT	25	punct