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:
"Deseo aclarar que no tengo motivo alguno para hacerlo", dijo Vázquez Raña sobre la llamada prueba de la verdad.
Postion	Tokenization
1	"
2	Deseo
3	aclarar
4	que
5	no
6	tengo
7	motivo
8	alguno
9	para
10	hacerlo
11	hacer
12	lo
13	"
14	,
15	dijo
16	Vázquez
17	Raña
18	sobre
19	la
20	llamada
21	prueba
22	de
23	la
24	verdad
25	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Deseo	VERB	14	ccomp
3	aclarar	VERB	2	ccomp
4	que	SCONJ	6	mark
5	no	ADV	6	advmod
6	tengo	VERB	3	ccomp
7	motivo	NOUN	6	obj
8	alguno	DET	7	det
9	para	ADP	10	mark
10	hacerlo	_	None	_
11	hacer	VERB	7	acl
12	lo	PRON	10	obj
13	"	PUNCT	2	punct
14	,	PUNCT	2	punct
15	dijo	VERB	0	root
16	Vázquez	PROPN	14	nsubj
17	Raña	PROPN	15	flat
18	sobre	ADP	20	case
19	la	DET	20	det
20	llamada	ADJ	20	amod
21	prueba	NOUN	14	obl
22	de	ADP	23	case
23	la	DET	23	det
24	verdad	NOUN	20	nmod
25	.	PUNCT	14	punct