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:
I will not eat halal meat, so guess what, I opted for foods which weren't a meat dish, there were plenty of other options.
Postion	Tokenization
1	I
2	will
3	not
4	eat
5	halal
6	meat
7	,
8	so
9	guess
10	what
11	,
12	I
13	opted
14	for
15	foods
16	which
17	weren't
18	were
19	n't
20	a
21	meat
22	dish
23	,
24	there
25	were
26	plenty
27	of
28	other
29	options
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	will	AUX	4	aux
3	not	PART	4	advmod
4	eat	VERB	0	root
5	halal	ADJ	6	amod
6	meat	NOUN	4	obj
7	,	PUNCT	9	punct
8	so	ADV	9	advmod
9	guess	VERB	13	parataxis
10	what	PRON	9	obj
11	,	PUNCT	9	punct
12	I	PRON	13	nsubj
13	opted	VERB	4	parataxis
14	for	ADP	15	case
15	foods	NOUN	13	obl
16	which	PRON	21	nsubj
17	weren't	_	None	_
18	were	AUX	21	cop
19	n't	PART	21	advmod
20	a	DET	21	det
21	meat	NOUN	21	compound
22	dish	NOUN	15	acl:relcl
23	,	PUNCT	4	punct
24	there	PRON	24	expl
25	were	VERB	4	parataxis
26	plenty	NOUN	24	nsubj
27	of	ADP	28	case
28	other	ADJ	28	amod
29	options	NOUN	25	nmod
30	.	PUNCT	4	punct