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 use Miracle Cloth, they're fantastic, just don't use fabric softener or dryer sheets when cleaning them, it ruins their "grabbing" ability.
Postion	Tokenization
1	I
2	use
3	Miracle
4	Cloth
5	,
6	they're
7	they
8	're
9	fantastic
10	,
11	just
12	don't
13	do
14	n't
15	use
16	fabric
17	softener
18	or
19	dryer
20	sheets
21	when
22	cleaning
23	them
24	,
25	it
26	ruins
27	their
28	"
29	grabbing
30	"
31	ability
32	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	use	VERB	0	root
3	Miracle	PROPN	4	compound
4	Cloth	PROPN	2	obj
5	,	PUNCT	2	punct
6	they're	_	None	_
7	they	PRON	8	nsubj
8	're	AUX	8	cop
9	fantastic	ADJ	2	parataxis
10	,	PUNCT	2	punct
11	just	ADV	13	advmod
12	don't	_	None	_
13	do	AUX	13	aux
14	n't	PART	13	advmod
15	use	VERB	2	parataxis
16	fabric	NOUN	15	compound
17	softener	NOUN	13	obj
18	or	CCONJ	18	cc
19	dryer	NOUN	18	compound
20	sheets	NOUN	15	conj
21	when	SCONJ	20	mark
22	cleaning	VERB	13	advcl
23	them	PRON	20	obj
24	,	PUNCT	2	punct
25	it	PRON	24	nsubj
26	ruins	VERB	2	parataxis
27	their	PRON	29	nmod:poss
28	"	PUNCT	29	punct
29	grabbing	VERB	29	amod
30	"	PUNCT	29	punct
31	ability	NOUN	24	obj
32	.	PUNCT	2	punct