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 aviso responde al anuncio de la asociación religiosa Badr de que los 35.000 musulmanes de la ciudad no cumplirán la normativa sobre el mal de las vacas locas.
Postion	Tokenization
1	El
2	aviso
3	responde
4	al
5	anuncio
6	de
7	la
8	asociación
9	religiosa
10	Badr
11	de
12	que
13	los
14	35.000
15	musulmanes
16	de
17	la
18	ciudad
19	no
20	cumplirán
21	la
22	normativa
23	sobre
24	el
25	mal
26	de
27	las
28	vacas
29	locas
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	aviso	NOUN	3	nsubj
3	responde	VERB	0	root
4	al	ADP	5	case
5	anuncio	NOUN	3	obj
6	de	ADP	8	case
7	la	DET	8	det
8	asociación	NOUN	5	nmod
9	religiosa	ADJ	8	amod
10	Badr	PROPN	8	appos
11	de	ADP	20	mark
12	que	SCONJ	20	mark
13	los	DET	14	det
14	35.000	NUM	15	nummod
15	musulmanes	NOUN	20	nsubj
16	de	ADP	18	case
17	la	DET	18	det
18	ciudad	NOUN	15	nmod
19	no	ADV	20	advmod
20	cumplirán	VERB	5	acl
21	la	DET	22	det
22	normativa	NOUN	20	obj
23	sobre	ADP	25	case
24	el	DET	25	det
25	mal	NOUN	22	nmod
26	de	ADP	28	case
27	las	DET	28	det
28	vacas	NOUN	25	nmod
29	locas	ADJ	28	amod
30	.	PUNCT	3	punct