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:
After one month's full-bore effort, I'm pleased with the results (e.g., we forecast Nepool onpeak to be $43 and it turned out $46).
Postion	Tokenization
1	After
2	one
3	month's
4	month
5	's
6	full
7	-
8	bore
9	effort
10	,
11	I'm
12	I
13	'm
14	pleased
15	with
16	the
17	results
18	(
19	e.g.
20	,
21	we
22	forecast
23	Nepool
24	onpeak
25	to
26	be
27	$
28	43
29	and
30	it
31	turned
32	out
33	$
34	46
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	After	ADP	8	case
2	one	NUM	3	nummod
3	month's	_	None	_
4	month	NOUN	8	nmod:poss
5	's	PART	3	case
6	full	ADJ	7	amod
7	-	PUNCT	7	punct
8	bore	NOUN	8	compound
9	effort	NOUN	12	obl
10	,	PUNCT	12	punct
11	I'm	_	None	_
12	I	PRON	12	nsubj
13	'm	AUX	12	cop
14	pleased	ADJ	0	root
15	with	ADP	15	case
16	the	DET	15	det
17	results	NOUN	12	obl
18	(	PUNCT	20	punct
19	e.g.	X	20	advmod
20	,	PUNCT	20	punct
21	we	PRON	20	nsubj
22	forecast	VERB	12	ccomp
23	Nepool	PROPN	20	obj
24	onpeak	ADV	21	advmod
25	to	PART	25	mark
26	be	AUX	25	cop
27	$	SYM	20	xcomp
28	43	NUM	25	nummod
29	and	CCONJ	29	cc
30	it	PRON	29	nsubj
31	turned	VERB	20	conj
32	out	ADP	29	compound:prt
33	$	SYM	29	obj
34	46	NUM	31	nummod
35	)	PUNCT	20	punct
36	.	PUNCT	12	punct