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:
The price of crude oil on the international market hit a record $70.85 a barrel due to the vulnerability of oil and gas fields in the Gulf of Mexico.
Postion	Tokenization
1	The
2	price
3	of
4	crude
5	oil
6	on
7	the
8	international
9	market
10	hit
11	a
12	record
13	$
14	70.85
15	a
16	barrel
17	due
18	to
19	the
20	vulnerability
21	of
22	oil
23	and
24	gas
25	fields
26	in
27	the
28	Gulf
29	of
30	Mexico
31	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	price	NOUN	10	nsubj
3	of	ADP	5	case
4	crude	ADJ	5	amod
5	oil	NOUN	2	nmod
6	on	ADP	9	case
7	the	DET	9	det
8	international	ADJ	9	amod
9	market	NOUN	2	nmod
10	hit	VERB	0	root
11	a	DET	13	det
12	record	ADJ	13	amod
13	$	SYM	10	obj
14	70.85	NUM	13	nummod
15	a	DET	16	det
16	barrel	NOUN	13	nmod:npmod
17	due	ADP	20	case
18	to	ADP	17	fixed
19	the	DET	20	det
20	vulnerability	NOUN	10	obl
21	of	ADP	25	case
22	oil	NOUN	25	compound
23	and	CCONJ	24	cc
24	gas	NOUN	22	conj
25	fields	NOUN	20	nmod
26	in	ADP	28	case
27	the	DET	28	det
28	Gulf	PROPN	25	nmod
29	of	ADP	30	case
30	Mexico	PROPN	28	nmod
31	.	PUNCT	10	punct