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:
Impossible to say, but I guess you would have to work out fuel consumption for the particular vehicle that they are using and pay a proportion of that, and some on top for the driver's time and effort, unless you are able to share transport with another or more, that would keep the costs down.
Postion	Tokenization
1	Impossible
2	to
3	say
4	,
5	but
6	I
7	guess
8	you
9	would
10	have
11	to
12	work
13	out
14	fuel
15	consumption
16	for
17	the
18	particular
19	vehicle
20	that
21	they
22	are
23	using
24	and
25	pay
26	a
27	proportion
28	of
29	that
30	,
31	and
32	some
33	on
34	top
35	for
36	the
37	driver's
38	driver
39	's
40	time
41	and
42	effort
43	,
44	unless
45	you
46	are
47	able
48	to
49	share
50	transport
51	with
52	another
53	or
54	more
55	,
56	that
57	would
58	keep
59	the
60	costs
61	down
62	.
Position	Tokenization	UPOS	Head	Deprel
1	Impossible	ADJ	0	root
2	to	PART	3	mark
3	say	VERB	1	csubj
4	,	PUNCT	7	punct
5	but	CCONJ	7	cc
6	I	PRON	7	nsubj
7	guess	VERB	1	conj
8	you	PRON	10	nsubj
9	would	AUX	10	aux
10	have	VERB	7	ccomp
11	to	PART	12	mark
12	work	VERB	10	xcomp
13	out	ADP	12	compound:prt
14	fuel	NOUN	15	compound
15	consumption	NOUN	12	obj
16	for	ADP	19	case
17	the	DET	19	det
18	particular	ADJ	19	amod
19	vehicle	NOUN	15	nmod
20	that	PRON	23	obj
21	they	PRON	23	nsubj
22	are	AUX	23	aux
23	using	VERB	19	acl:relcl
24	and	CCONJ	25	cc
25	pay	VERB	12	conj
26	a	DET	27	det
27	proportion	NOUN	25	obj
28	of	ADP	29	case
29	that	PRON	27	nmod
30	,	PUNCT	32	punct
31	and	CCONJ	32	cc
32	some	DET	27	conj
33	on	ADP	34	case
34	top	NOUN	32	nmod
35	for	ADP	39	case
36	the	DET	37	det
37	driver's	_	None	_
38	driver	NOUN	39	nmod:poss
39	's	PART	37	case
40	time	NOUN	25	obl
41	and	CCONJ	41	cc
42	effort	NOUN	39	conj
43	,	PUNCT	25	punct
44	unless	SCONJ	46	mark
45	you	PRON	46	nsubj
46	are	AUX	46	cop
47	able	ADJ	25	advcl
48	to	PART	48	mark
49	share	VERB	46	xcomp
50	transport	NOUN	48	obj
51	with	ADP	51	case
52	another	DET	48	obl
53	or	CCONJ	53	cc
54	more	ADJ	51	conj
55	,	PUNCT	46	punct
56	that	PRON	57	nsubj
57	would	AUX	57	aux
58	keep	VERB	48	parataxis
59	the	DET	59	det
60	costs	NOUN	57	obj
61	down	ADV	57	advmod
62	.	PUNCT	1	punct