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:
Algunos sectores empresariales chilenos se han sumado a la denuncia del presidente de Endesa España, Rodolfo Martín Villa, sobre la "persecución" que está sufriendo la compañía española.
Postion	Tokenization
1	Algunos
2	sectores
3	empresariales
4	chilenos
5	se
6	han
7	sumado
8	a
9	la
10	denuncia
11	del
12	presidente
13	de
14	Endesa
15	España
16	,
17	Rodolfo
18	Martín
19	Villa
20	,
21	sobre
22	la
23	"
24	persecución
25	"
26	que
27	está
28	sufriendo
29	la
30	compañía
31	española
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Algunos	DET	2	det
2	sectores	NOUN	7	nsubj
3	empresariales	ADJ	2	amod
4	chilenos	ADJ	2	amod
5	se	PRON	7	expl:pv
6	han	AUX	7	aux
7	sumado	VERB	0	root
8	a	ADP	10	case
9	la	DET	10	det
10	denuncia	NOUN	7	obj
11	del	ADP	12	case
12	presidente	NOUN	10	nmod
13	de	ADP	14	case
14	Endesa	PROPN	12	nmod
15	España	PROPN	14	flat
16	,	PUNCT	17	punct
17	Rodolfo	PROPN	12	appos
18	Martín	PROPN	17	flat
19	Villa	PROPN	17	flat
20	,	PUNCT	17	punct
21	sobre	ADP	24	case
22	la	DET	24	det
23	"	PUNCT	24	punct
24	persecución	NOUN	10	nmod
25	"	PUNCT	24	punct
26	que	PRON	28	obj
27	está	AUX	28	aux
28	sufriendo	VERB	24	acl
29	la	DET	30	det
30	compañía	NOUN	28	nsubj
31	española	ADJ	30	amod
32	.	PUNCT	7	punct