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:
Outside of parking being at a premium, especially on discount days, The Laundry Tub is not filthy and it's no smaller than any of a dozen laundromats I've been in.
Postion	Tokenization
1	Outside
2	of
3	parking
4	being
5	at
6	a
7	premium
8	,
9	especially
10	on
11	discount
12	days
13	,
14	The
15	Laundry
16	Tub
17	is
18	not
19	filthy
20	and
21	it's
22	it
23	's
24	no
25	smaller
26	than
27	any
28	of
29	a
30	dozen
31	laundromats
32	I've
33	I
34	've
35	been
36	in
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Outside	ADV	19	advmod
2	of	SCONJ	7	mark
3	parking	NOUN	7	nsubj
4	being	AUX	7	cop
5	at	ADP	7	case
6	a	DET	7	det
7	premium	NOUN	1	advcl
8	,	PUNCT	7	punct
9	especially	ADV	12	advmod
10	on	ADP	12	case
11	discount	NOUN	12	compound
12	days	NOUN	7	obl
13	,	PUNCT	19	punct
14	The	DET	16	det
15	Laundry	PROPN	16	compound
16	Tub	PROPN	19	nsubj
17	is	AUX	19	cop
18	not	PART	19	advmod
19	filthy	ADJ	0	root
20	and	CCONJ	24	cc
21	it's	_	None	_
22	it	PRON	24	nsubj
23	's	AUX	24	cop
24	no	ADV	24	advmod
25	smaller	ADJ	19	conj
26	than	ADP	26	case
27	any	DET	24	obl
28	of	ADP	30	case
29	a	DET	30	det
30	dozen	NOUN	30	compound
31	laundromats	NOUN	26	nmod
32	I've	_	None	_
33	I	PRON	34	nsubj
34	've	AUX	34	aux
35	been	AUX	34	cop
36	in	ADP	30	acl:relcl
37	.	PUNCT	19	punct