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:
Nava García indicó que en 1999 las autoridades migratorias deportaron a unas 120.000 personas, la gran mayoría de origen centroamericano que buscan llegar a Estados Unidos.
Postion	Tokenization
1	Nava
2	García
3	indicó
4	que
5	en
6	1999
7	las
8	autoridades
9	migratorias
10	deportaron
11	a
12	unas
13	120.000
14	personas
15	,
16	la
17	gran
18	mayoría
19	de
20	origen
21	centroamericano
22	que
23	buscan
24	llegar
25	a
26	Estados
27	Unidos
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Nava	PROPN	3	nsubj
2	García	PROPN	1	flat
3	indicó	VERB	0	root
4	que	SCONJ	10	mark
5	en	ADP	6	case
6	1999	NOUN	10	obl
7	las	DET	8	det
8	autoridades	NOUN	10	nsubj
9	migratorias	ADJ	8	amod
10	deportaron	VERB	3	ccomp
11	a	ADP	14	case
12	unas	PRON	13	nmod
13	120.000	NUM	14	nummod
14	personas	NOUN	10	obj
15	,	PUNCT	18	punct
16	la	DET	18	det
17	gran	ADJ	18	amod
18	mayoría	NOUN	14	appos
19	de	ADP	20	case
20	origen	NOUN	18	nmod
21	centroamericano	ADJ	20	amod
22	que	PRON	23	nsubj
23	buscan	VERB	18	acl
24	llegar	VERB	23	xcomp
25	a	ADP	26	case
26	Estados	PROPN	24	obl
27	Unidos	PROPN	26	flat
28	.	PUNCT	3	punct