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'm currently 12 and I get about 20 dollars a week for lunch, sometimes a bit more, I plan to save 10 dollars every week :)
Postion	Tokenization
1	I'm
2	I
3	'm
4	currently
5	12
6	and
7	I
8	get
9	about
10	20
11	dollars
12	a
13	week
14	for
15	lunch
16	,
17	sometimes
18	a
19	bit
20	more
21	,
22	I
23	plan
24	to
25	save
26	10
27	dollars
28	every
29	week
30	:)
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	4	nsubj
3	'm	AUX	4	cop
4	currently	ADV	4	advmod
5	12	NUM	0	root
6	and	CCONJ	7	cc
7	I	PRON	7	nsubj
8	get	VERB	4	conj
9	about	ADV	9	advmod
10	20	NUM	10	nummod
11	dollars	NOUN	7	obj
12	a	DET	12	det
13	week	NOUN	10	nmod:npmod
14	for	ADP	14	case
15	lunch	NOUN	10	nmod
16	,	PUNCT	10	punct
17	sometimes	ADV	19	advmod
18	a	DET	18	det
19	bit	NOUN	19	obl:npmod
20	more	ADJ	10	appos
21	,	PUNCT	22	punct
22	I	PRON	22	nsubj
23	plan	VERB	4	conj
24	to	PART	24	mark
25	save	VERB	22	xcomp
26	10	NUM	26	nummod
27	dollars	NOUN	24	obj
28	every	DET	28	det
29	week	NOUN	26	nmod:npmod
30	:)	SYM	4	discourse