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:
La Junta de Recuento de Votos de Miami-Dade aprobó el viernes la revisión de los 614 colegios electorales tras analizar una petición de la campaña demócrata que busca obtener votos adicionales para ayudar a su candidato Al Gore a superar la escasa ventaja que le lleva su rival republicano George W. Bush.
Postion	Tokenization
1	La
2	Junta
3	de
4	Recuento
5	de
6	Votos
7	de
8	Miami-Dade
9	aprobó
10	el
11	viernes
12	la
13	revisión
14	de
15	los
16	614
17	colegios
18	electorales
19	tras
20	analizar
21	una
22	petición
23	de
24	la
25	campaña
26	demócrata
27	que
28	busca
29	obtener
30	votos
31	adicionales
32	para
33	ayudar
34	a
35	su
36	candidato
37	Al
38	Gore
39	a
40	superar
41	la
42	escasa
43	ventaja
44	que
45	le
46	lleva
47	su
48	rival
49	republicano
50	George
51	W.
52	Bush
53	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Junta	PROPN	9	nsubj
3	de	ADP	4	case
4	Recuento	PROPN	2	flat
5	de	ADP	6	case
6	Votos	PROPN	2	flat
7	de	ADP	8	case
8	Miami-Dade	PROPN	2	nmod
9	aprobó	VERB	0	root
10	el	DET	11	det
11	viernes	NOUN	9	obl
12	la	DET	13	det
13	revisión	NOUN	9	obj
14	de	ADP	17	case
15	los	DET	16	det
16	614	NUM	17	nummod
17	colegios	NOUN	13	nmod
18	electorales	ADJ	17	amod
19	tras	ADP	20	mark
20	analizar	VERB	9	advcl
21	una	DET	22	det
22	petición	NOUN	20	obj
23	de	ADP	25	case
24	la	DET	25	det
25	campaña	NOUN	22	nmod
26	demócrata	ADJ	25	amod
27	que	PRON	28	nsubj
28	busca	VERB	25	acl
29	obtener	VERB	28	xcomp
30	votos	NOUN	29	obj
31	adicionales	ADJ	30	amod
32	para	ADP	33	mark
33	ayudar	VERB	30	acl
34	a	ADP	36	case
35	su	DET	36	det
36	candidato	NOUN	33	iobj
37	Al	ADP	38	case
38	Gore	PROPN	36	appos
39	a	ADP	40	mark
40	superar	VERB	33	xcomp
41	la	DET	43	det
42	escasa	ADJ	43	amod
43	ventaja	NOUN	40	obj
44	que	PRON	46	obj
45	le	PRON	46	obj
46	lleva	VERB	43	acl
47	su	DET	48	det
48	rival	NOUN	46	nsubj
49	republicano	ADJ	48	amod
50	George	PROPN	48	appos
51	W.	PROPN	50	flat
52	Bush	PROPN	50	flat
53	.	PUNCT	9	punct