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 know it can take awhile for results and didn't expect a miracle, but after 2 months I felt like it was not entirely worth the cost/time.
Postion	Tokenization
1	I
2	know
3	it
4	can
5	take
6	awhile
7	a
8	while
9	for
10	results
11	and
12	didn't
13	did
14	n't
15	expect
16	a
17	miracle
18	,
19	but
20	after
21	2
22	months
23	I
24	felt
25	like
26	it
27	was
28	not
29	entirely
30	worth
31	the
32	cost
33	/
34	time
35	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	know	VERB	0	root
3	it	PRON	5	nsubj
4	can	AUX	5	aux
5	take	VERB	2	ccomp
6	awhile	_	None	_
7	a	DET	7	det
8	while	NOUN	5	obj
9	for	ADP	9	case
10	results	NOUN	5	obl
11	and	CCONJ	13	cc
12	didn't	_	None	_
13	did	AUX	13	aux
14	n't	PART	13	advmod
15	expect	VERB	2	conj
16	a	DET	15	det
17	miracle	NOUN	13	obj
18	,	PUNCT	22	punct
19	but	CCONJ	22	cc
20	after	ADP	20	case
21	2	NUM	20	nummod
22	months	NOUN	22	obl
23	I	PRON	22	nsubj
24	felt	VERB	2	conj
25	like	SCONJ	28	mark
26	it	PRON	28	nsubj
27	was	AUX	28	cop
28	not	PART	28	advmod
29	entirely	ADV	28	advmod
30	worth	ADJ	22	advcl
31	the	DET	32	det
32	cost	NOUN	28	obj
33	/	PUNCT	32	cc
34	time	NOUN	30	conj
35	.	PUNCT	2	punct