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:
Toledo no participó al denunciar que persistía el mismo montaje de fraude que, según señala, se orquestó en su contra en la primera vuelta celebrada el 9 de abril para perpetuar a Fujimori en el poder.
Postion	Tokenization
1	Toledo
2	no
3	participó
4	al
5	denunciar
6	que
7	persistía
8	el
9	mismo
10	montaje
11	de
12	fraude
13	que
14	,
15	según
16	señala
17	,
18	se
19	orquestó
20	en
21	su
22	contra
23	en
24	la
25	primera
26	vuelta
27	celebrada
28	el
29	9
30	de
31	abril
32	para
33	perpetuar
34	a
35	Fujimori
36	en
37	el
38	poder
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Toledo	PROPN	3	nsubj
2	no	ADV	3	advmod
3	participó	VERB	0	root
4	al	ADP	5	mark
5	denunciar	VERB	3	advcl
6	que	SCONJ	7	mark
7	persistía	VERB	5	ccomp
8	el	DET	10	det
9	mismo	DET	8	det
10	montaje	NOUN	7	nsubj
11	de	ADP	12	case
12	fraude	NOUN	10	nmod
13	que	PRON	19	nsubj
14	,	PUNCT	16	punct
15	según	SCONJ	16	mark
16	señala	VERB	19	advcl
17	,	PUNCT	16	punct
18	se	PRON	19	expl:pass
19	orquestó	VERB	10	acl
20	en	ADP	22	case
21	su	DET	22	det
22	contra	NOUN	19	obl
23	en	ADP	26	case
24	la	DET	26	det
25	primera	ADJ	26	amod
26	vuelta	NOUN	19	obl
27	celebrada	ADJ	26	amod
28	el	DET	29	det
29	9	NUM	27	obl
30	de	ADP	31	case
31	abril	NOUN	29	compound
32	para	ADP	33	mark
33	perpetuar	VERB	19	advcl
34	a	ADP	35	case
35	Fujimori	PROPN	33	obj
36	en	ADP	38	case
37	el	DET	38	det
38	poder	NOUN	33	obl
39	.	PUNCT	3	punct