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 delegado del Gobierno en Melilla dijo ayer que ya se han importado más de 2.000 corderos de la Península y que el abastecimiento para la comunidad musulmana para la celebración de su fiesta "está asegurada".
Postion	Tokenization
1	El
2	delegado
3	del
4	Gobierno
5	en
6	Melilla
7	dijo
8	ayer
9	que
10	ya
11	se
12	han
13	importado
14	más
15	de
16	2.000
17	corderos
18	de
19	la
20	Península
21	y
22	que
23	el
24	abastecimiento
25	para
26	la
27	comunidad
28	musulmana
29	para
30	la
31	celebración
32	de
33	su
34	fiesta
35	"
36	está
37	asegurada
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	delegado	NOUN	7	nsubj
3	del	ADP	4	case
4	Gobierno	PROPN	2	nmod
5	en	ADP	6	case
6	Melilla	PROPN	2	nmod
7	dijo	VERB	0	root
8	ayer	ADV	7	advmod
9	que	SCONJ	13	mark
10	ya	ADV	13	advmod
11	se	PRON	13	expl:pass
12	han	AUX	13	aux
13	importado	VERB	7	ccomp
14	más	ADV	17	advmod
15	de	ADP	14	case
16	2.000	NUM	14	nummod
17	corderos	NOUN	13	nsubj
18	de	ADP	20	case
19	la	DET	20	det
20	Península	PROPN	17	nmod
21	y	CCONJ	37	cc
22	que	SCONJ	37	mark
23	el	DET	24	det
24	abastecimiento	NOUN	37	nsubj
25	para	ADP	27	case
26	la	DET	27	det
27	comunidad	NOUN	24	nmod
28	musulmana	ADJ	27	amod
29	para	ADP	31	case
30	la	DET	31	det
31	celebración	NOUN	24	nmod
32	de	ADP	34	case
33	su	DET	34	det
34	fiesta	NOUN	31	nmod
35	"	PUNCT	37	punct
36	está	AUX	37	cop
37	asegurada	ADJ	13	conj
38	"	PUNCT	37	punct
39	.	PUNCT	7	punct