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:
deleting a question where you dont like the answer won't get you better answers... i refer to my previous answer:
Postion	Tokenization
1	deleting
2	a
3	question
4	where
5	you
6	dont
7	do
8	nt
9	like
10	the
11	answer
12	won't
13	wo
14	n't
15	get
16	you
17	better
18	answers
19	...
20	i
21	refer
22	to
23	my
24	previous
25	answer
26	:
Position	Tokenization	UPOS	Head	Deprel
1	deleting	VERB	13	csubj
2	a	DET	3	det
3	question	NOUN	1	obj
4	where	SCONJ	8	mark
5	you	PRON	8	nsubj
6	dont	_	None	_
7	do	AUX	8	aux
8	nt	PART	8	advmod
9	like	VERB	3	acl:relcl
10	the	DET	10	det
11	answer	NOUN	8	obj
12	won't	_	None	_
13	wo	AUX	13	aux
14	n't	PART	13	advmod
15	get	VERB	0	root
16	you	PRON	13	iobj
17	better	ADJ	16	amod
18	answers	NOUN	13	obj
19	...	PUNCT	13	punct
20	i	PRON	19	nsubj
21	refer	VERB	13	parataxis
22	to	ADP	23	case
23	my	PRON	23	nmod:poss
24	previous	ADJ	23	amod
25	answer	NOUN	19	obl
26	:	PUNCT	13	punct