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 viernes pasado, el Gobierno entregó al juez una copia detallada de su propuesta para acabar con el monopolio de Microsoft.
Postion	Tokenization
1	El
2	viernes
3	pasado
4	,
5	el
6	Gobierno
7	entregó
8	al
9	juez
10	una
11	copia
12	detallada
13	de
14	su
15	propuesta
16	para
17	acabar
18	con
19	el
20	monopolio
21	de
22	Microsoft
23	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	viernes	NOUN	7	obl
3	pasado	ADJ	2	amod
4	,	PUNCT	2	punct
5	el	DET	6	det
6	Gobierno	PROPN	7	nsubj
7	entregó	VERB	0	root
8	al	ADP	9	case
9	juez	NOUN	7	obj
10	una	DET	11	det
11	copia	NOUN	7	obj
12	detallada	ADJ	11	amod
13	de	ADP	15	case
14	su	DET	15	det
15	propuesta	NOUN	11	nmod
16	para	ADP	17	mark
17	acabar	VERB	15	acl
18	con	ADP	20	case
19	el	DET	20	det
20	monopolio	NOUN	17	obj
21	de	ADP	22	case
22	Microsoft	PROPN	20	nmod
23	.	PUNCT	7	punct