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:
Tom Byargeon, Kevin Miller and Ken Loch in ENA are working with producers in the US involved in deep water offshore Louisiana/Texas oil and gas drilling projects.
Postion	Tokenization
1	Tom
2	Byargeon
3	,
4	Kevin
5	Miller
6	and
7	Ken
8	Loch
9	in
10	ENA
11	are
12	working
13	with
14	producers
15	in
16	the
17	US
18	involved
19	in
20	deep
21	water
22	offshore
23	Louisiana
24	/
25	Texas
26	oil
27	and
28	gas
29	drilling
30	projects
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Tom	PROPN	12	nsubj
2	Byargeon	PROPN	1	flat
3	,	PUNCT	4	punct
4	Kevin	PROPN	1	conj
5	Miller	PROPN	4	flat
6	and	CCONJ	7	cc
7	Ken	PROPN	1	conj
8	Loch	PROPN	7	flat
9	in	ADP	10	case
10	ENA	PROPN	1	nmod
11	are	AUX	12	aux
12	working	VERB	0	root
13	with	ADP	14	case
14	producers	NOUN	12	obl
15	in	ADP	17	case
16	the	DET	17	det
17	US	PROPN	14	nmod
18	involved	ADJ	14	amod
19	in	ADP	30	case
20	deep	ADJ	21	amod
21	water	NOUN	30	compound
22	offshore	ADJ	30	amod
23	Louisiana	PROPN	25	compound
24	/	PUNCT	25	punct
25	Texas	PROPN	30	compound
26	oil	NOUN	30	compound
27	and	CCONJ	28	cc
28	gas	NOUN	26	conj
29	drilling	NOUN	30	compound
30	projects	NOUN	18	obl
31	.	PUNCT	12	punct