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 Peralta, una de las cifras que proporcionó a la CNMV (los 30 millones) reflejaba la parte líquida de la inversión, mientras que la otra se refería a los depósitos en valores.
Postion	Tokenization
1	Según
2	Peralta
3	,
4	una
5	de
6	las
7	cifras
8	que
9	proporcionó
10	a
11	la
12	CNMV
13	(
14	los
15	30
16	millones
17	)
18	reflejaba
19	la
20	parte
21	líquida
22	de
23	la
24	inversión
25	,
26	mientras
27	que
28	la
29	otra
30	se
31	refería
32	a
33	los
34	depósitos
35	en
36	valores
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Peralta	PROPN	18	obl
3	,	PUNCT	2	punct
4	una	DET	9	det
5	de	ADP	7	case
6	las	DET	7	det
7	cifras	NOUN	9	obj
8	que	PRON	9	obj
9	proporcionó	VERB	18	csubj
10	a	ADP	12	case
11	la	DET	12	det
12	CNMV	PROPN	9	obj
13	(	PUNCT	16	punct
14	los	DET	15	det
15	30	NUM	16	nummod
16	millones	NOUN	9	obj
17	)	PUNCT	16	punct
18	reflejaba	VERB	26	parataxis
19	la	DET	20	det
20	parte	NOUN	18	obj
21	líquida	ADJ	20	amod
22	de	ADP	24	case
23	la	DET	24	det
24	inversión	NOUN	20	nmod
25	,	PUNCT	26	punct
26	mientras	CCONJ	0	root
27	que	SCONJ	26	fixed
28	la	DET	29	det
29	otra	PRON	31	nsubj
30	se	PRON	31	expl:pv
31	refería	VERB	26	parataxis
32	a	ADP	34	case
33	los	DET	34	det
34	depósitos	NOUN	31	obj
35	en	ADP	36	case
36	valores	NOUN	34	nmod
37	.	PUNCT	26	punct