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:
Sin embargo, Kennedy indicó que lo más importante es que turistas y locales planifiquen y se informen de los acontecimientos que se presentarán durante las Olimpiadas.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	Kennedy
5	indicó
6	que
7	lo
8	más
9	importante
10	es
11	que
12	turistas
13	y
14	locales
15	planifiquen
16	y
17	se
18	informen
19	de
20	los
21	acontecimientos
22	que
23	se
24	presentarán
25	durante
26	las
27	Olimpiadas
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	5	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	Kennedy	PROPN	5	nsubj
5	indicó	VERB	0	root
6	que	SCONJ	10	mark
7	lo	PRON	9	det
8	más	ADV	9	advmod
9	importante	ADJ	10	nsubj
10	es	AUX	5	ccomp
11	que	SCONJ	15	mark
12	turistas	NOUN	15	nsubj
13	y	CCONJ	14	cc
14	locales	ADJ	12	conj
15	planifiquen	VERB	10	ccomp
16	y	CCONJ	18	cc
17	se	PRON	18	obj
18	informen	VERB	15	conj
19	de	ADP	21	case
20	los	DET	21	det
21	acontecimientos	NOUN	18	obj
22	que	PRON	24	nsubj
23	se	PRON	24	expl:pass
24	presentarán	VERB	21	acl
25	durante	ADP	27	case
26	las	DET	27	det
27	Olimpiadas	PROPN	24	obl
28	.	PUNCT	5	punct