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 señaló que el gobierno "quería llevarnos a una trampa en esta elección, querían repetir el mismo fraude de la primera vuelta".
Postion	Tokenization
1	Toledo
2	señaló
3	que
4	el
5	gobierno
6	"
7	quería
8	llevarnos
9	llevar
10	nos
11	a
12	una
13	trampa
14	en
15	esta
16	elección
17	,
18	querían
19	repetir
20	el
21	mismo
22	fraude
23	de
24	la
25	primera
26	vuelta
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Toledo	PROPN	2	nsubj
2	señaló	VERB	0	root
3	que	SCONJ	7	mark
4	el	DET	5	det
5	gobierno	NOUN	7	nsubj
6	"	PUNCT	7	punct
7	quería	VERB	2	ccomp
8	llevarnos	_	None	_
9	llevar	VERB	7	xcomp
10	nos	PRON	8	obj
11	a	ADP	12	case
12	una	DET	12	det
13	trampa	NOUN	8	obl
14	en	ADP	15	case
15	esta	DET	15	det
16	elección	NOUN	8	obl
17	,	PUNCT	7	punct
18	querían	VERB	7	advcl
19	repetir	VERB	17	xcomp
20	el	DET	21	det
21	mismo	DET	19	det
22	fraude	NOUN	18	obj
23	de	ADP	25	case
24	la	DET	25	det
25	primera	ADJ	25	amod
26	vuelta	NOUN	21	nmod
27	"	PUNCT	7	punct
28	.	PUNCT	2	punct