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:
Bush puede asegurarse ese objetivo el Martes, cuando se celebren primarias en seis estados sureños, incluido Texas, y Florida, donde gobierna su hermano Jeb.
Postion	Tokenization
1	Bush
2	puede
3	asegurarse
4	asegurar
5	se
6	ese
7	objetivo
8	el
9	Martes
10	,
11	cuando
12	se
13	celebren
14	primarias
15	en
16	seis
17	estados
18	sureños
19	,
20	incluido
21	Texas
22	,
23	y
24	Florida
25	,
26	donde
27	gobierna
28	su
29	hermano
30	Jeb
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Bush	PROPN	3	nsubj
2	puede	AUX	3	aux
3	asegurarse	_	None	_
4	asegurar	VERB	0	root
5	se	PRON	3	expl:pv
6	ese	DET	6	det
7	objetivo	NOUN	3	obj
8	el	DET	8	det
9	Martes	NOUN	3	obl
10	,	PUNCT	12	punct
11	cuando	PRON	12	obl
12	se	PRON	12	expl:pass
13	celebren	VERB	8	acl
14	primarias	ADJ	12	nsubj
15	en	ADP	16	case
16	seis	NUM	16	nummod
17	estados	NOUN	12	obl
18	sureños	ADJ	16	amod
19	,	PUNCT	20	punct
20	incluido	ADJ	20	amod
21	Texas	PROPN	16	appos
22	,	PUNCT	23	punct
23	y	CCONJ	23	cc
24	Florida	PROPN	20	conj
25	,	PUNCT	26	punct
26	donde	PRON	26	obl
27	gobierna	VERB	23	acl
28	su	DET	28	det
29	hermano	NOUN	26	nsubj
30	Jeb	PROPN	28	appos
31	.	PUNCT	3	punct