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 Brazil trade deal included funding for a joint oil-drilling and pipeline programme at a cost that experts said would add up to three times the cost of simply buying oil on the market.
Postion	Tokenization
1	The
2	Brazil
3	trade
4	deal
5	included
6	funding
7	for
8	a
9	joint
10	oil
11	-
12	drilling
13	and
14	pipeline
15	programme
16	at
17	a
18	cost
19	that
20	experts
21	said
22	would
23	add
24	up
25	to
26	three
27	times
28	the
29	cost
30	of
31	simply
32	buying
33	oil
34	on
35	the
36	market
37	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	4	det
2	Brazil	PROPN	4	compound
3	trade	NOUN	4	compound
4	deal	NOUN	5	nsubj
5	included	VERB	0	root
6	funding	NOUN	5	obj
7	for	ADP	15	case
8	a	DET	15	det
9	joint	ADJ	15	amod
10	oil	NOUN	12	compound
11	-	PUNCT	12	punct
12	drilling	NOUN	15	compound
13	and	CCONJ	14	cc
14	pipeline	NOUN	12	conj
15	programme	NOUN	6	nmod
16	at	ADP	18	case
17	a	DET	18	det
18	cost	NOUN	15	nmod
19	that	PRON	23	nsubj
20	experts	NOUN	21	nsubj
21	said	VERB	18	acl:relcl
22	would	AUX	23	aux
23	add	VERB	21	ccomp
24	up	ADP	23	compound:prt
25	to	ADP	29	case
26	three	NUM	27	compound
27	times	NOUN	29	nummod
28	the	DET	29	det
29	cost	NOUN	23	obl
30	of	SCONJ	32	mark
31	simply	ADV	32	advmod
32	buying	VERB	29	acl
33	oil	NOUN	32	obj
34	on	ADP	36	case
35	the	DET	36	det
36	market	NOUN	32	obl
37	.	PUNCT	5	punct