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:
La candidatura a vicepresidente hizo que Cheney se inscribiera como elector de Wyoming, donde tiene otra residencia y estudió en la escuela secundaria.
Postion	Tokenization
1	La
2	candidatura
3	a
4	vicepresidente
5	hizo
6	que
7	Cheney
8	se
9	inscribiera
10	como
11	elector
12	de
13	Wyoming
14	,
15	donde
16	tiene
17	otra
18	residencia
19	y
20	estudió
21	en
22	la
23	escuela
24	secundaria
25	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	candidatura	NOUN	5	nsubj
3	a	ADP	4	case
4	vicepresidente	NOUN	2	nmod
5	hizo	VERB	0	root
6	que	SCONJ	9	mark
7	Cheney	PROPN	9	nsubj
8	se	PRON	9	obj
9	inscribiera	VERB	5	ccomp
10	como	SCONJ	11	mark
11	elector	NOUN	9	obj
12	de	ADP	13	case
13	Wyoming	PROPN	11	nmod
14	,	PUNCT	16	punct
15	donde	PRON	16	obl
16	tiene	VERB	13	acl
17	otra	DET	18	det
18	residencia	NOUN	16	obj
19	y	CCONJ	20	cc
20	estudió	VERB	16	conj
21	en	ADP	23	case
22	la	DET	23	det
23	escuela	NOUN	20	obl
24	secundaria	ADJ	23	amod
25	.	PUNCT	5	punct