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 censo del 2000 revela que en el país hay un millón de personas árabes o descendientes de árabes y 10 millones de asiáticos.
Postion	Tokenization
1	El
2	censo
3	del
4	2000
5	revela
6	que
7	en
8	el
9	país
10	hay
11	un
12	millón
13	de
14	personas
15	árabes
16	o
17	descendientes
18	de
19	árabes
20	y
21	10
22	millones
23	de
24	asiáticos
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	censo	NOUN	5	nsubj
3	del	ADP	4	case
4	2000	NOUN	2	nmod
5	revela	VERB	0	root
6	que	SCONJ	10	mark
7	en	ADP	9	case
8	el	DET	9	det
9	país	NOUN	10	obl
10	hay	AUX	5	ccomp
11	un	NUM	12	nummod
12	millón	NOUN	10	obj
13	de	ADP	14	case
14	personas	NOUN	12	nmod
15	árabes	ADJ	14	amod
16	o	CCONJ	17	cc
17	descendientes	NOUN	15	conj
18	de	ADP	19	case
19	árabes	NOUN	17	nmod
20	y	CCONJ	22	cc
21	10	NUM	22	nummod
22	millones	NOUN	12	conj
23	de	ADP	24	case
24	asiáticos	NOUN	22	nmod
25	.	PUNCT	5	punct