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:
Según los datos del estudio, hechos públicos esta semana, el 64% de usuarios de la Viagra aseguró haber logrado "una mejoría manifiesta".
Postion	Tokenization
1	Según
2	los
3	datos
4	del
5	estudio
6	,
7	hechos
8	públicos
9	esta
10	semana
11	,
12	el
13	64%
14	de
15	usuarios
16	de
17	la
18	Viagra
19	aseguró
20	haber
21	logrado
22	"
23	una
24	mejoría
25	manifiesta
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	los	DET	3	det
3	datos	NOUN	19	obl
4	del	ADP	5	case
5	estudio	NOUN	3	nmod
6	,	PUNCT	7	punct
7	hechos	ADJ	3	amod
8	públicos	ADJ	7	obj
9	esta	DET	10	det
10	semana	NOUN	7	obl
11	,	PUNCT	7	punct
12	el	DET	13	det
13	64%	SYM	19	nsubj
14	de	ADP	15	case
15	usuarios	ADJ	13	amod
16	de	ADP	18	case
17	la	DET	18	det
18	Viagra	PROPN	15	nmod
19	aseguró	VERB	0	root
20	haber	AUX	21	aux
21	logrado	VERB	19	ccomp
22	"	PUNCT	24	punct
23	una	DET	24	det
24	mejoría	NOUN	21	obj
25	manifiesta	ADJ	24	amod
26	"	PUNCT	24	punct
27	.	PUNCT	19	punct