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:
Enron needs to use this situation to quickly get our viewpoints up into the PUCT and ERCOT ISO on what is driving these problems and our proposed fixes.
Postion	Tokenization
1	Enron
2	needs
3	to
4	use
5	this
6	situation
7	to
8	quickly
9	get
10	our
11	viewpoints
12	up
13	into
14	the
15	PUCT
16	and
17	ERCOT
18	ISO
19	on
20	what
21	is
22	driving
23	these
24	problems
25	and
26	our
27	proposed
28	fixes
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Enron	PROPN	2	nsubj
2	needs	VERB	0	root
3	to	PART	4	mark
4	use	VERB	2	xcomp
5	this	DET	6	det
6	situation	NOUN	4	obj
7	to	PART	9	mark
8	quickly	ADV	9	advmod
9	get	VERB	4	advcl
10	our	PRON	11	nmod:poss
11	viewpoints	NOUN	9	obj
12	up	ADV	9	advmod
13	into	ADP	18	case
14	the	DET	18	det
15	PUCT	PROPN	18	compound
16	and	CCONJ	17	cc
17	ERCOT	PROPN	11	conj
18	ISO	NOUN	9	obl
19	on	SCONJ	20	case
20	what	PRON	9	obl
21	is	AUX	22	aux
22	driving	VERB	20	acl:relcl
23	these	DET	24	det
24	problems	NOUN	22	obj
25	and	CCONJ	28	cc
26	our	PRON	28	nmod:poss
27	proposed	VERB	28	amod
28	fixes	NOUN	20	conj
29	.	PUNCT	2	punct