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:
Its projected demand, boosted by a huge rise in car ownership as well as the need to find alternatives to polluting coal for electricity generation, has contributed to the surge in the price of oil this year.
Postion	Tokenization
1	Its
2	projected
3	demand
4	,
5	boosted
6	by
7	a
8	huge
9	rise
10	in
11	car
12	ownership
13	as
14	well
15	as
16	the
17	need
18	to
19	find
20	alternatives
21	to
22	polluting
23	coal
24	for
25	electricity
26	generation
27	,
28	has
29	contributed
30	to
31	the
32	surge
33	in
34	the
35	price
36	of
37	oil
38	this
39	year
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Its	PRON	3	nmod:poss
2	projected	VERB	3	amod
3	demand	NOUN	29	nsubj
4	,	PUNCT	3	punct
5	boosted	VERB	3	acl
6	by	ADP	9	case
7	a	DET	9	det
8	huge	ADJ	9	amod
9	rise	NOUN	5	obl
10	in	ADP	12	case
11	car	NOUN	12	compound
12	ownership	NOUN	9	nmod
13	as	ADV	17	cc
14	well	ADV	13	fixed
15	as	ADP	13	fixed
16	the	DET	17	det
17	need	NOUN	9	conj
18	to	PART	19	mark
19	find	VERB	17	acl
20	alternatives	NOUN	19	obj
21	to	ADP	23	case
22	polluting	VERB	23	amod
23	coal	NOUN	20	nmod
24	for	ADP	26	case
25	electricity	NOUN	26	compound
26	generation	NOUN	20	nmod
27	,	PUNCT	29	punct
28	has	AUX	29	aux
29	contributed	VERB	0	root
30	to	ADP	32	case
31	the	DET	32	det
32	surge	NOUN	29	obl
33	in	ADP	35	case
34	the	DET	35	det
35	price	NOUN	32	nmod
36	of	ADP	37	case
37	oil	NOUN	35	nmod
38	this	DET	39	det
39	year	NOUN	32	nmod:tmod
40	.	PUNCT	29	punct