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:
Violentas protestas contra la prohibición de importar cordero sacudieron nuevamente ayer la ciudad de Melilla, pero en esta ocasión la policía no intervino "para evitar 20 heridos - - como justificó el delegado del Gobierno en la ciudad, Enrique Beamud - - y para que no se diga que actúa salvajemente".
Postion	Tokenization
1	Violentas
2	protestas
3	contra
4	la
5	prohibición
6	de
7	importar
8	cordero
9	sacudieron
10	nuevamente
11	ayer
12	la
13	ciudad
14	de
15	Melilla
16	,
17	pero
18	en
19	esta
20	ocasión
21	la
22	policía
23	no
24	intervino
25	"
26	para
27	evitar
28	20
29	heridos
30	-
31	-
32	como
33	justificó
34	el
35	delegado
36	del
37	Gobierno
38	en
39	la
40	ciudad
41	,
42	Enrique
43	Beamud
44	-
45	-
46	y
47	para
48	que
49	no
50	se
51	diga
52	que
53	actúa
54	salvajemente
55	"
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Violentas	ADJ	2	amod
2	protestas	NOUN	9	nsubj
3	contra	ADP	5	case
4	la	DET	5	det
5	prohibición	NOUN	2	nmod
6	de	ADP	7	mark
7	importar	VERB	5	acl
8	cordero	NOUN	7	obj
9	sacudieron	VERB	0	root
10	nuevamente	ADV	9	advmod
11	ayer	ADV	9	advmod
12	la	DET	13	det
13	ciudad	NOUN	9	obj
14	de	ADP	15	case
15	Melilla	PROPN	13	nmod
16	,	PUNCT	24	punct
17	pero	CCONJ	24	cc
18	en	ADP	20	case
19	esta	DET	20	det
20	ocasión	NOUN	24	obl
21	la	DET	22	det
22	policía	NOUN	24	nsubj
23	no	ADV	24	advmod
24	intervino	VERB	9	conj
25	"	PUNCT	27	punct
26	para	ADP	27	mark
27	evitar	VERB	24	xcomp
28	20	NUM	29	nummod
29	heridos	NOUN	27	obj
30	-	PUNCT	33	punct
31	-	PUNCT	33	punct
32	como	SCONJ	33	mark
33	justificó	VERB	27	advcl
34	el	DET	35	det
35	delegado	NOUN	33	nsubj
36	del	ADP	37	case
37	Gobierno	PROPN	35	nmod
38	en	ADP	40	case
39	la	DET	40	det
40	ciudad	NOUN	35	nmod
41	,	PUNCT	42	punct
42	Enrique	PROPN	35	appos
43	Beamud	PROPN	42	flat
44	-	PUNCT	33	punct
45	-	PUNCT	33	punct
46	y	CCONJ	51	cc
47	para	ADP	51	mark
48	que	SCONJ	51	mark
49	no	ADV	51	advmod
50	se	PRON	51	expl:pass
51	diga	VERB	27	conj
52	que	SCONJ	53	mark
53	actúa	VERB	51	csubj
54	salvajemente	ADV	53	advmod
55	"	PUNCT	27	punct
56	.	PUNCT	9	punct