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 Tribunal de Apelaciones de Nueva Orleans, en Luisiana, anuló hoy una demanda de tres electores de Texas que impugnaban la constitucionalidad de la candidatura a vicepresidente del republicano Richard Cheney.
Postion	Tokenization
1	El
2	Tribunal
3	de
4	Apelaciones
5	de
6	Nueva
7	Orleans
8	,
9	en
10	Luisiana
11	,
12	anuló
13	hoy
14	una
15	demanda
16	de
17	tres
18	electores
19	de
20	Texas
21	que
22	impugnaban
23	la
24	constitucionalidad
25	de
26	la
27	candidatura
28	a
29	vicepresidente
30	del
31	republicano
32	Richard
33	Cheney
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Tribunal	PROPN	12	nsubj
3	de	ADP	4	case
4	Apelaciones	PROPN	2	flat
5	de	ADP	6	case
6	Nueva	PROPN	2	flat
7	Orleans	PROPN	6	flat
8	,	PUNCT	10	punct
9	en	ADP	10	case
10	Luisiana	PROPN	2	nmod
11	,	PUNCT	10	punct
12	anuló	VERB	0	root
13	hoy	ADV	12	advmod
14	una	DET	15	det
15	demanda	NOUN	12	obj
16	de	ADP	18	case
17	tres	NUM	18	nummod
18	electores	NOUN	15	nmod
19	de	ADP	20	case
20	Texas	PROPN	18	nmod
21	que	PRON	22	nsubj
22	impugnaban	VERB	18	acl
23	la	DET	24	det
24	constitucionalidad	NOUN	22	obj
25	de	ADP	27	case
26	la	DET	27	det
27	candidatura	NOUN	24	nmod
28	a	ADP	29	case
29	vicepresidente	NOUN	27	nmod
30	del	ADP	31	case
31	republicano	NOUN	27	nmod
32	Richard	PROPN	31	appos
33	Cheney	PROPN	32	flat
34	.	PUNCT	12	punct