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 argentino anunció el pasado lunes un nuevo paquete de medidas destinadas a bajar el gasto público, que implica una reducción de entre el 12 y el 15 por ciento de los salarios de los empleados públicos.
Postion	Tokenization
1	El
2	presidente
3	argentino
4	anunció
5	el
6	pasado
7	lunes
8	un
9	nuevo
10	paquete
11	de
12	medidas
13	destinadas
14	a
15	bajar
16	el
17	gasto
18	público
19	,
20	que
21	implica
22	una
23	reducción
24	de
25	entre
26	el
27	12
28	y
29	el
30	15
31	por
32	ciento
33	de
34	los
35	salarios
36	de
37	los
38	empleados
39	públicos
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	4	nsubj
3	argentino	ADJ	2	amod
4	anunció	VERB	0	root
5	el	DET	6	det
6	pasado	NOUN	4	obl
7	lunes	NOUN	6	compound
8	un	DET	10	det
9	nuevo	ADJ	10	amod
10	paquete	NOUN	4	obj
11	de	ADP	12	case
12	medidas	NOUN	10	nmod
13	destinadas	ADJ	12	amod
14	a	ADP	15	mark
15	bajar	VERB	13	xcomp
16	el	DET	17	det
17	gasto	NOUN	15	obj
18	público	ADJ	17	amod
19	,	PUNCT	21	punct
20	que	PRON	21	nsubj
21	implica	VERB	10	acl
22	una	DET	23	det
23	reducción	NOUN	21	obj
24	de	ADP	27	case
25	entre	ADP	27	case
26	el	DET	27	det
27	12	NUM	23	nummod
28	y	CCONJ	30	cc
29	el	DET	30	det
30	15	NUM	27	conj
31	por	ADP	32	case
32	ciento	NUM	30	compound
33	de	ADP	35	case
34	los	DET	35	det
35	salarios	NOUN	27	nmod
36	de	ADP	38	case
37	los	DET	38	det
38	empleados	NOUN	35	nmod
39	públicos	ADJ	38	amod
40	.	PUNCT	4	punct