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 está excelentemente preparado para ello, ya que sus fondos electorales son los más cuantiosos de los siete aspirantes a la Casa Blanca y se acercan a los 11.000 millones de pesetas.
Postion	Tokenization
1	Bush
2	está
3	excelentemente
4	preparado
5	para
6	ello
7	,
8	ya
9	que
10	sus
11	fondos
12	electorales
13	son
14	los
15	más
16	cuantiosos
17	de
18	los
19	siete
20	aspirantes
21	a
22	la
23	Casa
24	Blanca
25	y
26	se
27	acercan
28	a
29	los
30	11.000
31	millones
32	de
33	pesetas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Bush	PROPN	4	nsubj
2	está	AUX	4	cop
3	excelentemente	ADV	4	advmod
4	preparado	ADJ	0	root
5	para	ADP	6	case
6	ello	PRON	4	obl
7	,	PUNCT	16	punct
8	ya	ADV	16	mark
9	que	SCONJ	8	fixed
10	sus	DET	11	det
11	fondos	NOUN	16	nsubj
12	electorales	ADJ	11	amod
13	son	AUX	16	cop
14	los	DET	16	det
15	más	ADV	16	advmod
16	cuantiosos	ADJ	4	advcl
17	de	ADP	20	case
18	los	DET	20	det
19	siete	NUM	18	nummod
20	aspirantes	NOUN	16	nmod
21	a	ADP	23	case
22	la	DET	23	det
23	Casa	PROPN	20	nmod
24	Blanca	PROPN	23	flat
25	y	CCONJ	27	cc
26	se	PRON	27	expl:pv
27	acercan	VERB	16	conj
28	a	ADP	31	case
29	los	DET	30	det
30	11.000	NUM	31	nummod
31	millones	NOUN	27	obl
32	de	ADP	33	case
33	pesetas	NOUN	31	nmod
34	.	PUNCT	4	punct