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:
I now understand that someone at ENA/Enron Mexico/Enron Wholesale has signed an EPC contract with ABB for this project.
Postion	Tokenization
1	I
2	now
3	understand
4	that
5	someone
6	at
7	ENA
8	/
9	Enron
10	Mexico
11	/
12	Enron
13	Wholesale
14	has
15	signed
16	an
17	EPC
18	contract
19	with
20	ABB
21	for
22	this
23	project
24	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	now	ADV	3	advmod
3	understand	VERB	0	root
4	that	SCONJ	15	mark
5	someone	PRON	15	nsubj
6	at	ADP	7	case
7	ENA	PROPN	5	nmod
8	/	PUNCT	10	cc
9	Enron	PROPN	10	compound
10	Mexico	PROPN	7	conj
11	/	PUNCT	13	cc
12	Enron	PROPN	13	compound
13	Wholesale	PROPN	7	conj
14	has	AUX	15	aux
15	signed	VERB	3	ccomp
16	an	DET	18	det
17	EPC	NOUN	18	compound
18	contract	NOUN	15	obj
19	with	ADP	20	case
20	ABB	PROPN	18	nmod
21	for	ADP	23	case
22	this	DET	23	det
23	project	NOUN	18	nmod
24	.	PUNCT	3	punct