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:
By Friday December 1st, could you please tell me the percentages/amount of time you spent on East Coast Power during the months of October and November.
Postion	Tokenization
1	By
2	Friday
3	December
4	1st
5	,
6	could
7	you
8	please
9	tell
10	me
11	the
12	percentages
13	/
14	amount
15	of
16	time
17	you
18	spent
19	on
20	East
21	Coast
22	Power
23	during
24	the
25	months
26	of
27	October
28	and
29	November
30	.
Position	Tokenization	UPOS	Head	Deprel
1	By	ADP	4	case
2	Friday	PROPN	4	compound
3	December	PROPN	4	compound
4	1st	NOUN	9	obl
5	,	PUNCT	9	punct
6	could	AUX	9	aux
7	you	PRON	9	nsubj
8	please	INTJ	9	discourse
9	tell	VERB	0	root
10	me	PRON	9	iobj
11	the	DET	12	det
12	percentages	NOUN	9	obj
13	/	PUNCT	12	punct
14	amount	NOUN	12	appos
15	of	ADP	16	case
16	time	NOUN	14	nmod
17	you	PRON	18	nsubj
18	spent	VERB	12	acl:relcl
19	on	ADP	22	case
20	East	PROPN	21	compound
21	Coast	PROPN	22	compound
22	Power	PROPN	18	obl
23	during	ADP	25	case
24	the	DET	25	det
25	months	NOUN	18	obl
26	of	ADP	27	case
27	October	PROPN	25	nmod
28	and	CCONJ	29	cc
29	November	PROPN	27	conj
30	.	PUNCT	9	punct