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:
También eludió referirse a los ingresos de esta venta: "Sobre lo que no está hecho no podemos hablar, y hay que ser enormemente discretos".
Postion	Tokenization
1	También
2	eludió
3	referirse
4	referir
5	se
6	a
7	los
8	ingresos
9	de
10	esta
11	venta
12	:
13	"
14	Sobre
15	lo
16	que
17	no
18	está
19	hecho
20	no
21	podemos
22	hablar
23	,
24	y
25	hay
26	que
27	ser
28	enormemente
29	discretos
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	eludió	VERB	0	root
3	referirse	_	None	_
4	referir	VERB	2	xcomp
5	se	PRON	3	expl:pv
6	a	ADP	7	case
7	los	DET	7	det
8	ingresos	NOUN	3	obj
9	de	ADP	10	case
10	esta	DET	10	det
11	venta	NOUN	7	nmod
12	:	PUNCT	21	punct
13	"	PUNCT	21	punct
14	Sobre	ADP	18	case
15	lo	PRON	18	det
16	que	PRON	18	nsubj
17	no	ADV	18	advmod
18	está	AUX	18	cop
19	hecho	ADJ	21	ccomp
20	no	ADV	21	advmod
21	podemos	AUX	21	aux
22	hablar	VERB	2	advcl
23	,	PUNCT	24	punct
24	y	CCONJ	24	cc
25	hay	AUX	21	conj
26	que	SCONJ	28	cc
27	ser	AUX	28	cop
28	enormemente	ADV	28	advmod
29	discretos	ADJ	24	conj
30	"	PUNCT	21	punct
31	.	PUNCT	2	punct