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:
Lacalle destacó que, en ese sentido, aplauden la decisión del presidente de la República de "suspender su participación en actos de inauguración de obras públicas por voluntad propia".
Postion	Tokenization
1	Lacalle
2	destacó
3	que
4	,
5	en
6	ese
7	sentido
8	,
9	aplauden
10	la
11	decisión
12	del
13	presidente
14	de
15	la
16	República
17	de
18	"
19	suspender
20	su
21	participación
22	en
23	actos
24	de
25	inauguración
26	de
27	obras
28	públicas
29	por
30	voluntad
31	propia
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Lacalle	PROPN	2	nsubj
2	destacó	VERB	0	root
3	que	SCONJ	9	mark
4	,	PUNCT	7	punct
5	en	ADP	7	case
6	ese	DET	7	det
7	sentido	NOUN	9	obl
8	,	PUNCT	7	punct
9	aplauden	VERB	2	ccomp
10	la	DET	11	det
11	decisión	NOUN	9	obj
12	del	ADP	13	case
13	presidente	NOUN	11	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	República	PROPN	13	nmod
17	de	ADP	19	mark
18	"	PUNCT	19	punct
19	suspender	VERB	11	acl
20	su	DET	21	det
21	participación	NOUN	19	obj
22	en	ADP	23	case
23	actos	NOUN	21	nmod
24	de	ADP	25	case
25	inauguración	NOUN	23	nmod
26	de	ADP	27	case
27	obras	NOUN	25	nmod
28	públicas	ADJ	27	amod
29	por	ADP	30	case
30	voluntad	NOUN	19	obl
31	propia	ADJ	30	amod
32	"	PUNCT	19	punct
33	.	PUNCT	2	punct