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:
Today I went into Kwik Kar and there were two cars in front of me for inspection...but I was still out of there pretty quick...barely had time to read a chapter in my book.
Postion	Tokenization
1	Today
2	I
3	went
4	into
5	Kwik
6	Kar
7	and
8	there
9	were
10	two
11	cars
12	in
13	front
14	of
15	me
16	for
17	inspection
18	...
19	but
20	I
21	was
22	still
23	out
24	of
25	there
26	pretty
27	quick
28	...
29	barely
30	had
31	time
32	to
33	read
34	a
35	chapter
36	in
37	my
38	book
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Today	NOUN	3	obl:tmod
2	I	PRON	3	nsubj
3	went	VERB	0	root
4	into	ADP	5	case
5	Kwik	PROPN	3	obl
6	Kar	PROPN	5	flat
7	and	CCONJ	9	cc
8	there	PRON	9	expl
9	were	VERB	3	conj
10	two	NUM	11	nummod
11	cars	NOUN	9	nsubj
12	in	ADP	13	case
13	front	NOUN	11	nmod
14	of	ADP	15	case
15	me	PRON	13	nmod
16	for	ADP	17	case
17	inspection	NOUN	11	nmod
18	...	PUNCT	3	punct
19	but	CCONJ	21	cc
20	I	PRON	21	nsubj
21	was	VERB	3	conj
22	still	ADV	21	advmod
23	out	ADP	25	case
24	of	ADP	25	case
25	there	ADV	21	obl
26	pretty	ADV	27	advmod
27	quick	ADV	21	advmod
28	...	PUNCT	21	punct
29	barely	ADV	30	advmod
30	had	VERB	21	parataxis
31	time	NOUN	30	obj
32	to	PART	33	mark
33	read	VERB	31	acl
34	a	DET	35	det
35	chapter	NOUN	33	obj
36	in	ADP	38	case
37	my	PRON	38	nmod:poss
38	book	NOUN	35	nmod
39	.	PUNCT	3	punct