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:
García resaltó que aunque el INS tiene autoridad para aplicar sus decisiones, ha buscado alternativas para que el caso sea llevado sin causarle más traumas al niño, uno de tres sobrevivientes de un naufragio de inmigrantes ilegales cubanos ocurrido en las costas de Florida en noviembre pasado, en el que murió su madre.
Postion	Tokenization
1	García
2	resaltó
3	que
4	aunque
5	el
6	INS
7	tiene
8	autoridad
9	para
10	aplicar
11	sus
12	decisiones
13	,
14	ha
15	buscado
16	alternativas
17	para
18	que
19	el
20	caso
21	sea
22	llevado
23	sin
24	causarle
25	causar
26	le
27	más
28	traumas
29	al
30	niño
31	,
32	uno
33	de
34	tres
35	sobrevivientes
36	de
37	un
38	naufragio
39	de
40	inmigrantes
41	ilegales
42	cubanos
43	ocurrido
44	en
45	las
46	costas
47	de
48	Florida
49	en
50	noviembre
51	pasado
52	,
53	en
54	el
55	que
56	murió
57	su
58	madre
59	.
Position	Tokenization	UPOS	Head	Deprel
1	García	PROPN	2	nsubj
2	resaltó	VERB	0	root
3	que	SCONJ	15	mark
4	aunque	SCONJ	7	mark
5	el	DET	6	det
6	INS	PROPN	7	nsubj
7	tiene	VERB	15	advcl
8	autoridad	NOUN	7	obj
9	para	ADP	10	mark
10	aplicar	VERB	8	acl
11	sus	DET	12	det
12	decisiones	NOUN	10	obj
13	,	PUNCT	7	punct
14	ha	AUX	15	aux
15	buscado	VERB	2	ccomp
16	alternativas	NOUN	15	obj
17	para	ADP	22	mark
18	que	SCONJ	22	mark
19	el	DET	20	det
20	caso	NOUN	22	nsubj
21	sea	AUX	22	aux
22	llevado	VERB	16	acl
23	sin	ADP	24	mark
24	causarle	_	None	_
25	causar	VERB	22	advcl
26	le	PRON	24	obj
27	más	ADV	27	advmod
28	traumas	NOUN	24	obj
29	al	ADP	29	case
30	niño	NOUN	24	obj
31	,	PUNCT	31	punct
32	uno	PRON	29	appos
33	de	ADP	34	case
34	tres	NUM	34	nummod
35	sobrevivientes	NOUN	31	nmod
36	de	ADP	37	case
37	un	DET	37	det
38	naufragio	NOUN	34	nmod
39	de	ADP	39	case
40	inmigrantes	NOUN	37	nmod
41	ilegales	ADJ	39	amod
42	cubanos	ADJ	39	amod
43	ocurrido	ADJ	37	amod
44	en	ADP	45	case
45	las	DET	45	det
46	costas	NOUN	42	obl
47	de	ADP	47	case
48	Florida	PROPN	45	nmod
49	en	ADP	49	case
50	noviembre	NOUN	42	obl
51	pasado	ADJ	49	amod
52	,	PUNCT	55	punct
53	en	ADP	54	case
54	el	DET	54	det
55	que	PRON	55	obl
56	murió	VERB	37	acl
57	su	DET	57	det
58	madre	NOUN	55	nsubj
59	.	PUNCT	2	punct