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 availed myself of the wash 'n fold service, taking just about a year's worth of dirty clothes in and getting back neatly folded, clean clothes in clear plastic bags (I'd originally brought them in, in six large yellow garbage bags).
Postion	Tokenization
1	I
2	availed
3	myself
4	of
5	the
6	wash
7	'n
8	fold
9	service
10	,
11	taking
12	just
13	about
14	a
15	year's
16	year
17	's
18	worth
19	of
20	dirty
21	clothes
22	in
23	and
24	getting
25	back
26	neatly
27	folded
28	,
29	clean
30	clothes
31	in
32	clear
33	plastic
34	bags
35	(
36	I
37	'd
38	originally
39	brought
40	them
41	in
42	,
43	in
44	six
45	large
46	yellow
47	garbage
48	bags
49	)
50	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	availed	VERB	0	root
3	myself	PRON	2	obj
4	of	ADP	9	case
5	the	DET	9	det
6	wash	VERB	9	compound
7	'n	CCONJ	8	cc
8	fold	VERB	6	conj
9	service	NOUN	2	obl
10	,	PUNCT	2	punct
11	taking	VERB	2	advcl
12	just	ADV	13	advmod
13	about	ADP	14	advmod
14	a	DET	15	nummod
15	year's	_	None	_
16	year	NOUN	17	nmod:poss
17	's	PART	15	case
18	worth	NOUN	11	obj
19	of	ADP	20	case
20	dirty	ADJ	20	amod
21	clothes	NOUN	17	nmod
22	in	ADV	11	advmod
23	and	CCONJ	23	cc
24	getting	VERB	11	conj
25	back	ADV	23	advmod
26	neatly	ADV	26	advmod
27	folded	VERB	29	amod
28	,	PUNCT	29	punct
29	clean	ADJ	29	amod
30	clothes	NOUN	23	obj
31	in	ADP	33	case
32	clear	ADJ	33	amod
33	plastic	NOUN	33	compound
34	bags	NOUN	29	nmod
35	(	PUNCT	38	punct
36	I	PRON	38	nsubj
37	'd	AUX	38	aux
38	originally	ADV	38	advmod
39	brought	VERB	2	parataxis
40	them	PRON	38	obj
41	in	ADV	38	advmod
42	,	PUNCT	38	punct
43	in	ADP	47	case
44	six	NUM	47	nummod
45	large	ADJ	47	amod
46	yellow	ADJ	47	amod
47	garbage	NOUN	47	compound
48	bags	NOUN	38	obl
49	)	PUNCT	38	punct
50	.	PUNCT	2	punct