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 del Gobierno (González) recibía en su despacho y organizaba comidas con intermediarios para impulsar operaciones empresariales.
Postion	Tokenization
1	"
2	El
3	presidente
4	del
5	Gobierno
6	(
7	González
8	)
9	recibía
10	en
11	su
12	despacho
13	y
14	organizaba
15	comidas
16	con
17	intermediarios
18	para
19	impulsar
20	operaciones
21	empresariales
22	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	El	DET	3	det
3	presidente	NOUN	9	nsubj
4	del	ADP	5	case
5	Gobierno	PROPN	3	nmod
6	(	PUNCT	7	punct
7	González	PROPN	3	appos
8	)	PUNCT	7	punct
9	recibía	VERB	0	root
10	en	ADP	12	case
11	su	DET	12	det
12	despacho	NOUN	9	obl
13	y	CCONJ	14	cc
14	organizaba	VERB	9	conj
15	comidas	NOUN	14	obj
16	con	ADP	17	case
17	intermediarios	NOUN	15	nmod
18	para	ADP	19	mark
19	impulsar	VERB	14	advcl
20	operaciones	NOUN	19	obj
21	empresariales	ADJ	20	amod
22	.	PUNCT	9	punct