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:
China's insatiable demand for energy is prompting fears of financial and diplomatic collisions around the globe as it seeks reliable supplies of oil from as far away as Brazil and Sudan.
Postion	Tokenization
1	China's
2	China
3	's
4	insatiable
5	demand
6	for
7	energy
8	is
9	prompting
10	fears
11	of
12	financial
13	and
14	diplomatic
15	collisions
16	around
17	the
18	globe
19	as
20	it
21	seeks
22	reliable
23	supplies
24	of
25	oil
26	from
27	as
28	far
29	away
30	as
31	Brazil
32	and
33	Sudan
34	.
Position	Tokenization	UPOS	Head	Deprel
1	China's	_	None	_
2	China	PROPN	4	nmod:poss
3	's	PART	1	case
4	insatiable	ADJ	4	amod
5	demand	NOUN	8	nsubj
6	for	ADP	6	case
7	energy	NOUN	4	nmod
8	is	AUX	8	aux
9	prompting	VERB	0	root
10	fears	NOUN	8	obj
11	of	ADP	14	case
12	financial	ADJ	14	amod
13	and	CCONJ	13	cc
14	diplomatic	ADJ	11	conj
15	collisions	NOUN	9	nmod
16	around	ADP	17	case
17	the	DET	17	det
18	globe	NOUN	8	obl
19	as	SCONJ	20	mark
20	it	PRON	20	nsubj
21	seeks	VERB	8	advcl
22	reliable	ADJ	22	amod
23	supplies	NOUN	20	obj
24	of	ADP	24	case
25	oil	NOUN	22	nmod
26	from	ADP	28	case
27	as	ADV	28	advmod
28	far	ADV	28	advmod
29	away	ADV	22	nmod
30	as	ADP	30	case
31	Brazil	PROPN	28	obl
32	and	CCONJ	32	cc
33	Sudan	PROPN	30	conj
34	.	PUNCT	8	punct