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:
Smith puntualizó que no cree culpable a Jeb Bush de todo lo que ha pasado en Florida, pero que los electores buscarán a quién responsabilizar por la disputa política y legal de estas presidenciales.
Postion	Tokenization
1	Smith
2	puntualizó
3	que
4	no
5	cree
6	culpable
7	a
8	Jeb
9	Bush
10	de
11	todo
12	lo
13	que
14	ha
15	pasado
16	en
17	Florida
18	,
19	pero
20	que
21	los
22	electores
23	buscarán
24	a
25	quién
26	responsabilizar
27	por
28	la
29	disputa
30	política
31	y
32	legal
33	de
34	estas
35	presidenciales
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Smith	PROPN	2	nsubj
2	puntualizó	VERB	0	root
3	que	SCONJ	5	mark
4	no	ADV	5	advmod
5	cree	VERB	2	ccomp
6	culpable	ADJ	5	iobj
7	a	ADP	8	case
8	Jeb	PROPN	5	iobj
9	Bush	PROPN	8	flat
10	de	ADP	15	mark
11	todo	DET	12	det
12	lo	PRON	15	det
13	que	PRON	15	nsubj
14	ha	AUX	15	aux
15	pasado	VERB	5	ccomp
16	en	ADP	17	case
17	Florida	PROPN	15	obl
18	,	PUNCT	23	punct
19	pero	CCONJ	23	cc
20	que	SCONJ	23	mark
21	los	DET	22	det
22	electores	NOUN	23	nsubj
23	buscarán	VERB	5	conj
24	a	ADP	25	case
25	quién	PRON	26	obj
26	responsabilizar	VERB	23	xcomp
27	por	ADP	29	case
28	la	DET	29	det
29	disputa	NOUN	26	obl
30	política	ADJ	29	amod
31	y	CCONJ	32	cc
32	legal	ADJ	30	conj
33	de	ADP	35	case
34	estas	DET	35	det
35	presidenciales	ADJ	29	amod
36	.	PUNCT	2	punct