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:
Mark at Tintman Nationwidetints Ltd, did a very Professional job very quick, no fuss, deliverd the car to me and I drove him back home,Great arrangement Great price!!
Postion	Tokenization
1	Mark
2	at
3	Tintman
4	Nationwide
5	tints
6	Ltd
7	,
8	did
9	a
10	very
11	Professional
12	job
13	very
14	quick
15	,
16	no
17	fuss
18	,
19	deliverd
20	the
21	car
22	to
23	me
24	and
25	I
26	drove
27	him
28	back
29	home
30	,
31	Great
32	arrangement
33	Great
34	price
35	!!
Position	Tokenization	UPOS	Head	Deprel
1	Mark	PROPN	8	nsubj
2	at	ADP	6	case
3	Tintman	PROPN	6	compound
4	Nationwide	PROPN	6	compound
5	tints	PROPN	6	compound
6	Ltd	PROPN	1	nmod
7	,	PUNCT	8	punct
8	did	VERB	0	root
9	a	DET	12	det
10	very	ADV	11	advmod
11	Professional	ADJ	12	amod
12	job	NOUN	8	obj
13	very	ADV	14	advmod
14	quick	ADV	8	advmod
15	,	PUNCT	17	punct
16	no	DET	17	det
17	fuss	NOUN	8	obl:npmod
18	,	PUNCT	17	punct
19	deliverd	VERB	8	parataxis
20	the	DET	21	det
21	car	NOUN	19	obj
22	to	ADP	23	case
23	me	PRON	19	obl
24	and	CCONJ	26	cc
25	I	PRON	26	nsubj
26	drove	VERB	19	conj
27	him	PRON	26	obj
28	back	ADV	29	advmod
29	home	ADV	26	advmod
30	,	PUNCT	19	punct
31	Great	ADJ	32	amod
32	arrangement	NOUN	8	obl:npmod
33	Great	ADJ	34	amod
34	price	NOUN	32	conj
35	!!	PUNCT	8	punct