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:
You will notice that Questar has requested a "Payment Plan" that details when they will pay Transwestern for the interconnect due to the recent Enron events.
Postion	Tokenization
1	You
2	will
3	notice
4	that
5	Questar
6	has
7	requested
8	a
9	"
10	Payment
11	Plan
12	"
13	that
14	details
15	when
16	they
17	will
18	pay
19	Transwestern
20	for
21	the
22	interconnect
23	due
24	to
25	the
26	recent
27	Enron
28	events
29	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	3	nsubj
2	will	AUX	3	aux
3	notice	VERB	0	root
4	that	SCONJ	7	mark
5	Questar	PROPN	7	nsubj
6	has	AUX	7	aux
7	requested	VERB	3	ccomp
8	a	DET	11	det
9	"	PUNCT	11	punct
10	Payment	NOUN	11	compound
11	Plan	NOUN	7	obj
12	"	PUNCT	11	punct
13	that	PRON	14	nsubj
14	details	VERB	11	acl:relcl
15	when	SCONJ	18	mark
16	they	PRON	18	nsubj
17	will	AUX	18	aux
18	pay	VERB	14	advcl
19	Transwestern	PROPN	18	obj
20	for	ADP	22	case
21	the	DET	22	det
22	interconnect	NOUN	18	obl
23	due	ADP	28	case
24	to	ADP	23	fixed
25	the	DET	28	det
26	recent	ADJ	28	amod
27	Enron	PROPN	28	compound
28	events	NOUN	7	obl
29	.	PUNCT	3	punct