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:
En esa intriga están mezclados los directivos de una central nuclear, grandes empresarios que sobornan a políticos y funcionarios judiciales, la mafia rusa y el fraude a Hacienda.
Postion	Tokenization
1	En
2	esa
3	intriga
4	están
5	mezclados
6	los
7	directivos
8	de
9	una
10	central
11	nuclear
12	,
13	grandes
14	empresarios
15	que
16	sobornan
17	a
18	políticos
19	y
20	funcionarios
21	judiciales
22	,
23	la
24	mafia
25	rusa
26	y
27	el
28	fraude
29	a
30	Hacienda
31	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	esa	DET	3	det
3	intriga	NOUN	5	obl
4	están	AUX	5	cop
5	mezclados	ADJ	0	root
6	los	DET	7	det
7	directivos	NOUN	5	nsubj
8	de	ADP	10	case
9	una	DET	10	det
10	central	NOUN	7	nmod
11	nuclear	ADJ	10	amod
12	,	PUNCT	14	punct
13	grandes	ADJ	14	amod
14	empresarios	NOUN	7	appos
15	que	PRON	16	nsubj
16	sobornan	VERB	14	acl
17	a	ADP	18	case
18	políticos	NOUN	16	obj
19	y	CCONJ	20	cc
20	funcionarios	NOUN	18	conj
21	judiciales	ADJ	20	amod
22	,	PUNCT	24	punct
23	la	DET	24	det
24	mafia	NOUN	7	appos
25	rusa	ADJ	24	amod
26	y	CCONJ	28	cc
27	el	DET	28	det
28	fraude	NOUN	7	conj
29	a	ADP	30	case
30	Hacienda	PROPN	28	nmod
31	.	PUNCT	5	punct