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:
Meroño eludió comentar la operación hasta que no reciba los detalles de la misma, pues "sería imprudente y negativo dar cualquier opinión que no esté basada en estudios técnicos".
Postion	Tokenization
1	Meroño
2	eludió
3	comentar
4	la
5	operación
6	hasta
7	que
8	no
9	reciba
10	los
11	detalles
12	de
13	la
14	misma
15	,
16	pues
17	"
18	sería
19	imprudente
20	y
21	negativo
22	dar
23	cualquier
24	opinión
25	que
26	no
27	esté
28	basada
29	en
30	estudios
31	técnicos
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Meroño	PROPN	2	nsubj
2	eludió	VERB	0	root
3	comentar	VERB	2	xcomp
4	la	DET	5	det
5	operación	NOUN	3	obj
6	hasta	ADP	9	mark
7	que	SCONJ	9	mark
8	no	ADV	9	advmod
9	reciba	VERB	3	advcl
10	los	DET	11	det
11	detalles	NOUN	9	obj
12	de	ADP	14	case
13	la	DET	14	det
14	misma	PRON	11	nmod
15	,	PUNCT	19	punct
16	pues	SCONJ	19	mark
17	"	PUNCT	19	punct
18	sería	AUX	19	cop
19	imprudente	ADJ	2	advcl
20	y	CCONJ	21	cc
21	negativo	ADJ	19	conj
22	dar	VERB	19	csubj
23	cualquier	DET	24	det
24	opinión	NOUN	22	obj
25	que	PRON	28	nsubj
26	no	ADV	28	advmod
27	esté	AUX	28	cop
28	basada	ADJ	24	acl
29	en	ADP	30	case
30	estudios	NOUN	28	obj
31	técnicos	ADJ	30	amod
32	"	PUNCT	19	punct
33	.	PUNCT	2	punct