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:
El gobernador de Florida, el republicano Jeb Bush, al que se consideraba una estrella en ascendencia, puede resultar uno de los grandes perdedores de las elecciones del 7 de noviembre, coincidieron hoy fuentes políticas.
Postion	Tokenization
1	El
2	gobernador
3	de
4	Florida
5	,
6	el
7	republicano
8	Jeb
9	Bush
10	,
11	al
12	que
13	se
14	consideraba
15	una
16	estrella
17	en
18	ascendencia
19	,
20	puede
21	resultar
22	uno
23	de
24	los
25	grandes
26	perdedores
27	de
28	las
29	elecciones
30	del
31	7
32	de
33	noviembre
34	,
35	coincidieron
36	hoy
37	fuentes
38	políticas
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	gobernador	NOUN	21	nsubj
3	de	ADP	4	case
4	Florida	PROPN	2	nmod
5	,	PUNCT	7	punct
6	el	DET	7	det
7	republicano	NOUN	2	appos
8	Jeb	PROPN	7	appos
9	Bush	PROPN	8	flat
10	,	PUNCT	7	punct
11	al	ADP	12	case
12	que	PRON	14	obj
13	se	PRON	14	expl:impers
14	consideraba	VERB	2	acl
15	una	DET	16	det
16	estrella	NOUN	14	obj
17	en	ADP	18	case
18	ascendencia	NOUN	16	nmod
19	,	PUNCT	14	punct
20	puede	AUX	21	aux
21	resultar	VERB	35	xcomp
22	uno	PRON	21	obj
23	de	ADP	26	case
24	los	DET	26	det
25	grandes	ADJ	26	amod
26	perdedores	NOUN	22	nmod
27	de	ADP	29	case
28	las	DET	29	det
29	elecciones	NOUN	26	nmod
30	del	ADP	31	case
31	7	NUM	29	nmod
32	de	ADP	33	case
33	noviembre	NOUN	31	compound
34	,	PUNCT	21	punct
35	coincidieron	VERB	0	root
36	hoy	ADV	35	advmod
37	fuentes	NOUN	35	nsubj
38	políticas	ADJ	37	amod
39	.	PUNCT	35	punct