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:
Just like what happened in Enron's initial VPP program they are find more interest in oil drilling projects rather than natural gas projects.
Postion	Tokenization
1	Just
2	like
3	what
4	happened
5	in
6	Enron's
7	Enron
8	's
9	initial
10	VPP
11	program
12	they
13	are
14	find
15	more
16	interest
17	in
18	oil
19	drilling
20	projects
21	rather
22	than
23	natural
24	gas
25	projects
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Just	ADV	3	advmod
2	like	SCONJ	3	case
3	what	PRON	13	obl
4	happened	VERB	3	acl:relcl
5	in	ADP	10	case
6	Enron's	_	None	_
7	Enron	PROPN	10	nmod:poss
8	's	PART	6	case
9	initial	ADJ	10	amod
10	VPP	NOUN	10	compound
11	program	NOUN	4	obl
12	they	PRON	13	nsubj
13	are	AUX	13	aux
14	find	VERB	0	root
15	more	ADJ	15	amod
16	interest	NOUN	13	obj
17	in	ADP	19	case
18	oil	NOUN	18	compound
19	drilling	NOUN	19	compound
20	projects	NOUN	15	nmod
21	rather	ADV	24	cc
22	than	ADP	20	fixed
23	natural	ADJ	23	amod
24	gas	NOUN	24	compound
25	projects	NOUN	19	conj
26	.	PUNCT	13	punct