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:
El presidente de Endesa, Rodolfo Martín Villa, aseguró que la fusión con Iberdrola "es fundamentalmente una operación empresarial, que no está dirigida por el Gobierno".
Postion	Tokenization
1	El
2	presidente
3	de
4	Endesa
5	,
6	Rodolfo
7	Martín
8	Villa
9	,
10	aseguró
11	que
12	la
13	fusión
14	con
15	Iberdrola
16	"
17	es
18	fundamentalmente
19	una
20	operación
21	empresarial
22	,
23	que
24	no
25	está
26	dirigida
27	por
28	el
29	Gobierno
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	10	nsubj
3	de	ADP	4	case
4	Endesa	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Rodolfo	PROPN	2	appos
7	Martín	PROPN	6	flat
8	Villa	PROPN	6	flat
9	,	PUNCT	6	punct
10	aseguró	VERB	0	root
11	que	SCONJ	20	mark
12	la	DET	13	det
13	fusión	NOUN	20	nsubj
14	con	ADP	15	case
15	Iberdrola	PROPN	13	nmod
16	"	PUNCT	20	punct
17	es	AUX	20	cop
18	fundamentalmente	ADV	20	advmod
19	una	DET	20	det
20	operación	NOUN	10	ccomp
21	empresarial	ADJ	20	amod
22	,	PUNCT	26	punct
23	que	PRON	26	nsubj
24	no	ADV	26	advmod
25	está	AUX	26	cop
26	dirigida	ADJ	20	acl
27	por	ADP	29	case
28	el	DET	29	det
29	Gobierno	PROPN	26	obj
30	"	PUNCT	20	punct
31	.	PUNCT	10	punct