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 ex futbolista lamentó las 28 muertes que dejaron las protestas del 20 de diciembre, se manifestó en contra de la violencia de los últimos días y pidió a los argentinos que "no se confundan" y eviten desmanes como el del pasado sábado, cuando una turba entró al Parlamento y realizó destrozos ", dijo.
Postion	Tokenization
1	El
2	ex
3	futbolista
4	lamentó
5	las
6	28
7	muertes
8	que
9	dejaron
10	las
11	protestas
12	del
13	20
14	de
15	diciembre
16	,
17	se
18	manifestó
19	en
20	contra
21	de
22	la
23	violencia
24	de
25	los
26	últimos
27	días
28	y
29	pidió
30	a
31	los
32	argentinos
33	que
34	"
35	no
36	se
37	confundan
38	"
39	y
40	eviten
41	desmanes
42	como
43	el
44	del
45	pasado
46	sábado
47	,
48	cuando
49	una
50	turba
51	entró
52	al
53	Parlamento
54	y
55	realizó
56	destrozos
57	"
58	,
59	dijo
60	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	ex	ADJ	3	amod
3	futbolista	NOUN	4	nsubj
4	lamentó	VERB	0	root
5	las	DET	6	det
6	28	NUM	7	nummod
7	muertes	NOUN	4	obj
8	que	PRON	9	obj
9	dejaron	VERB	7	acl
10	las	DET	11	det
11	protestas	NOUN	9	nsubj
12	del	ADP	13	case
13	20	NUM	11	nmod
14	de	ADP	15	case
15	diciembre	NOUN	13	compound
16	,	PUNCT	18	punct
17	se	PRON	18	expl:pv
18	manifestó	VERB	4	advcl
19	en	ADP	18	advmod
20	contra	NOUN	19	fixed
21	de	ADP	23	case
22	la	DET	23	det
23	violencia	NOUN	19	obl
24	de	ADP	27	case
25	los	DET	27	det
26	últimos	ADJ	27	amod
27	días	NOUN	23	nmod
28	y	CCONJ	29	cc
29	pidió	VERB	4	conj
30	a	ADP	32	case
31	los	DET	32	det
32	argentinos	NOUN	29	iobj
33	que	SCONJ	37	mark
34	"	PUNCT	37	punct
35	no	ADV	37	advmod
36	se	PRON	37	expl:pv
37	confundan	VERB	29	ccomp
38	"	PUNCT	40	punct
39	y	CCONJ	40	cc
40	eviten	VERB	37	conj
41	desmanes	NOUN	40	obj
42	como	SCONJ	43	mark
43	el	DET	41	det
44	del	ADP	43	case
45	pasado	ADJ	46	amod
46	sábado	NOUN	43	nmod
47	,	PUNCT	51	punct
48	cuando	PRON	51	obl
49	una	DET	50	det
50	turba	NOUN	51	nsubj
51	entró	VERB	46	acl
52	al	ADP	53	case
53	Parlamento	PROPN	51	obl
54	y	CCONJ	55	cc
55	realizó	VERB	51	conj
56	destrozos	NOUN	55	obj
57	"	PUNCT	51	punct
58	,	PUNCT	51	punct
59	dijo	VERB	4	parataxis
60	.	PUNCT	4	punct