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:
In just 2-3 focused lessons, I'm already now capable of picking up new songs off YouTube guitar how to videos and am even writing my own orginals with confidence!
Postion	Tokenization
1	In
2	just
3	2
4	-
5	3
6	focused
7	lessons
8	,
9	I'm
10	I
11	'm
12	already
13	now
14	capable
15	of
16	picking
17	up
18	new
19	songs
20	off
21	YouTube
22	guitar
23	how
24	to
25	videos
26	and
27	am
28	even
29	writing
30	my
31	own
32	orginals
33	with
34	confidence
35	!
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	7	case
2	just	ADV	3	advmod
3	2	NUM	7	nummod
4	-	SYM	5	case
5	3	NUM	3	nmod
6	focused	VERB	7	amod
7	lessons	NOUN	13	obl
8	,	PUNCT	13	punct
9	I'm	_	None	_
10	I	PRON	13	nsubj
11	'm	AUX	13	cop
12	already	ADV	13	advmod
13	now	ADV	13	advmod
14	capable	ADJ	0	root
15	of	SCONJ	15	mark
16	picking	VERB	13	advcl
17	up	ADP	15	compound:prt
18	new	ADJ	18	amod
19	songs	NOUN	15	obj
20	off	ADP	24	case
21	YouTube	PROPN	24	compound
22	guitar	NOUN	24	compound
23	how	SCONJ	23	mark
24	to	PART	24	compound
25	videos	NOUN	15	obl
26	and	CCONJ	28	cc
27	am	AUX	28	aux
28	even	ADV	28	advmod
29	writing	VERB	13	conj
30	my	PRON	31	nmod:poss
31	own	ADJ	31	amod
32	orginals	NOUN	28	obj
33	with	ADP	33	case
34	confidence	NOUN	28	obl
35	!	PUNCT	13	punct