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:
A week before, China's second biggest state oil firm had signed a $70 billion deal for oilfield and natural gas development with Iran, which already supplies 13 per cent of China's needs.
Postion	Tokenization
1	A
2	week
3	before
4	,
5	China's
6	China
7	's
8	second
9	biggest
10	state
11	oil
12	firm
13	had
14	signed
15	a
16	$
17	70
18	billion
19	deal
20	for
21	oilfield
22	and
23	natural
24	gas
25	development
26	with
27	Iran
28	,
29	which
30	already
31	supplies
32	13
33	per
34	cent
35	of
36	China's
37	China
38	's
39	needs
40	.
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	2	det
2	week	NOUN	3	obl:npmod
3	before	ADV	13	advmod
4	,	PUNCT	13	punct
5	China's	_	None	_
6	China	PROPN	11	nmod:poss
7	's	PART	5	case
8	second	ADV	8	advmod
9	biggest	ADJ	11	amod
10	state	NOUN	11	compound
11	oil	NOUN	11	compound
12	firm	NOUN	13	nsubj
13	had	AUX	13	aux
14	signed	VERB	0	root
15	a	DET	18	det
16	$	SYM	18	compound
17	70	NUM	17	compound
18	billion	NUM	15	nummod
19	deal	NOUN	13	obj
20	for	ADP	24	case
21	oilfield	NOUN	24	compound
22	and	CCONJ	23	cc
23	natural	ADJ	23	amod
24	gas	NOUN	20	conj
25	development	NOUN	18	nmod
26	with	ADP	26	case
27	Iran	PROPN	18	nmod
28	,	PUNCT	26	punct
29	which	PRON	30	nsubj
30	already	ADV	30	advmod
31	supplies	VERB	26	acl:relcl
32	13	NUM	33	nummod
33	per	NOUN	33	compound
34	cent	NOUN	30	obj
35	of	ADP	37	case
36	China's	_	None	_
37	China	PROPN	37	nmod:poss
38	's	PART	35	case
39	needs	NOUN	33	nmod
40	.	PUNCT	13	punct