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 will purchase 250 million tons of liquefied natural gas from Iran over the next 30 years, will develop the massive Yadavaran oil field in Iran, and will receive 150,000 barrels of oil per day from that field.
Postion	Tokenization
1	China
2	will
3	purchase
4	250
5	million
6	tons
7	of
8	liquefied
9	natural
10	gas
11	from
12	Iran
13	over
14	the
15	next
16	30
17	years
18	,
19	will
20	develop
21	the
22	massive
23	Yadavaran
24	oil
25	field
26	in
27	Iran
28	,
29	and
30	will
31	receive
32	150,000
33	barrels
34	of
35	oil
36	per
37	day
38	from
39	that
40	field
41	.
Position	Tokenization	UPOS	Head	Deprel
1	China	PROPN	3	nsubj
2	will	AUX	3	aux
3	purchase	VERB	0	root
4	250	NUM	5	compound
5	million	NUM	6	nummod
6	tons	NOUN	3	obj
7	of	ADP	10	case
8	liquefied	VERB	10	amod
9	natural	ADJ	10	amod
10	gas	NOUN	6	nmod
11	from	ADP	12	case
12	Iran	PROPN	3	obl
13	over	ADP	17	case
14	the	DET	17	det
15	next	ADJ	17	amod
16	30	NUM	17	nummod
17	years	NOUN	3	obl
18	,	PUNCT	20	punct
19	will	AUX	20	aux
20	develop	VERB	3	conj
21	the	DET	25	det
22	massive	ADJ	25	amod
23	Yadavaran	PROPN	25	compound
24	oil	NOUN	25	compound
25	field	NOUN	20	obj
26	in	ADP	27	case
27	Iran	PROPN	25	nmod
28	,	PUNCT	31	punct
29	and	CCONJ	31	cc
30	will	AUX	31	aux
31	receive	VERB	3	conj
32	150,000	NUM	33	nummod
33	barrels	NOUN	31	obj
34	of	ADP	35	case
35	oil	NOUN	33	nmod
36	per	ADP	37	case
37	day	NOUN	31	obl
38	from	ADP	40	case
39	that	DET	40	det
40	field	NOUN	31	obl
41	.	PUNCT	3	punct