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 was looking to bring a customer to their lot to buy a car but the Internet salesperson Last name is Balazick sent me this email "AND IF IT WAS WORTH MY TIME I WOULD OF BOTHERED ASWERING YOUR QUESTIONS.
Postion	Tokenization
1	I
2	was
3	looking
4	to
5	bring
6	a
7	customer
8	to
9	their
10	lot
11	to
12	buy
13	a
14	car
15	but
16	the
17	Internet
18	salesperson
19	Last
20	name
21	is
22	Balazick
23	sent
24	me
25	this
26	email
27	"
28	AND
29	IF
30	IT
31	WAS
32	WORTH
33	MY
34	TIME
35	I
36	WOULD
37	OF
38	BOTHERED
39	ASWERING
40	YOUR
41	QUESTIONS
42	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	was	AUX	3	aux
3	looking	VERB	0	root
4	to	PART	5	mark
5	bring	VERB	3	xcomp
6	a	DET	7	det
7	customer	NOUN	5	obj
8	to	ADP	10	case
9	their	PRON	10	nmod:poss
10	lot	NOUN	5	obl
11	to	PART	12	mark
12	buy	VERB	5	advcl
13	a	DET	14	det
14	car	NOUN	12	obj
15	but	CCONJ	23	cc
16	the	DET	18	det
17	Internet	NOUN	18	compound
18	salesperson	NOUN	23	nsubj
19	Last	ADJ	20	amod
20	name	NOUN	22	nsubj
21	is	AUX	22	cop
22	Balazick	PROPN	18	parataxis
23	sent	VERB	3	conj
24	me	PRON	23	iobj
25	this	DET	26	det
26	email	NOUN	23	obj
27	"	PUNCT	3	punct
28	AND	CCONJ	38	cc
29	IF	SCONJ	32	mark
30	IT	PRON	32	nsubj
31	WAS	AUX	32	cop
32	WORTH	ADJ	38	advcl
33	MY	PRON	34	nmod:poss
34	TIME	NOUN	32	obj
35	I	PRON	38	nsubj
36	WOULD	AUX	38	aux
37	OF	AUX	38	aux
38	BOTHERED	VERB	3	conj
39	ASWERING	VERB	38	advcl
40	YOUR	PRON	41	nmod:poss
41	QUESTIONS	NOUN	39	obj
42	.	PUNCT	3	punct