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:
Con esta victoria, el hijo del ex presidente Bush ganó otros 56 delegados, con lo que ya dispone de 187 de los 1.034 necesarios para ganar la nominación del Partido Republicano.
Postion	Tokenization
1	Con
2	esta
3	victoria
4	,
5	el
6	hijo
7	del
8	ex
9	presidente
10	Bush
11	ganó
12	otros
13	56
14	delegados
15	,
16	con
17	lo
18	que
19	ya
20	dispone
21	de
22	187
23	de
24	los
25	1.034
26	necesarios
27	para
28	ganar
29	la
30	nominación
31	del
32	Partido
33	Republicano
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	esta	DET	3	det
3	victoria	NOUN	11	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	hijo	NOUN	11	nsubj
7	del	ADP	9	case
8	ex	ADJ	9	amod
9	presidente	NOUN	6	nmod
10	Bush	PROPN	9	appos
11	ganó	VERB	0	root
12	otros	PRON	13	nmod
13	56	NUM	14	nummod
14	delegados	NOUN	11	obj
15	,	PUNCT	20	punct
16	con	ADP	20	mark
17	lo	PRON	20	det
18	que	PRON	20	obl
19	ya	ADV	20	advmod
20	dispone	VERB	11	advcl
21	de	ADP	22	case
22	187	NUM	20	obj
23	de	ADP	26	case
24	los	DET	25	det
25	1.034	NUM	26	nummod
26	necesarios	ADJ	22	amod
27	para	ADP	28	mark
28	ganar	VERB	26	acl
29	la	DET	30	det
30	nominación	NOUN	28	obj
31	del	ADP	32	case
32	Partido	PROPN	30	nmod
33	Republicano	PROPN	32	flat
34	.	PUNCT	11	punct