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:
Sometimes it is hard to get parking in the lot in front of the storefront, and it is on a one-way street, but the restaurant itself is NEVER overcrowded.
Postion	Tokenization
1	Sometimes
2	it
3	is
4	hard
5	to
6	get
7	parking
8	in
9	the
10	lot
11	in
12	front
13	of
14	the
15	storefront
16	,
17	and
18	it
19	is
20	on
21	a
22	one
23	-
24	way
25	street
26	,
27	but
28	the
29	restaurant
30	itself
31	is
32	NEVER
33	overcrowded
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Sometimes	ADV	4	advmod
2	it	PRON	4	expl
3	is	AUX	4	cop
4	hard	ADJ	0	root
5	to	PART	6	mark
6	get	VERB	4	csubj
7	parking	NOUN	6	obj
8	in	ADP	10	case
9	the	DET	10	det
10	lot	NOUN	6	obl
11	in	ADP	12	case
12	front	NOUN	10	nmod
13	of	ADP	15	case
14	the	DET	15	det
15	storefront	NOUN	12	nmod
16	,	PUNCT	25	punct
17	and	CCONJ	25	cc
18	it	PRON	25	nsubj
19	is	AUX	25	cop
20	on	ADP	25	case
21	a	DET	25	det
22	one	NUM	24	nummod
23	-	PUNCT	24	punct
24	way	NOUN	25	compound
25	street	NOUN	4	conj
26	,	PUNCT	33	punct
27	but	CCONJ	33	cc
28	the	DET	29	det
29	restaurant	NOUN	33	nsubj
30	itself	PRON	29	nmod:npmod
31	is	AUX	33	cop
32	NEVER	ADV	33	advmod
33	overcrowded	ADJ	4	conj
34	.	PUNCT	4	punct