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:
🌱 А калі хочаце пабываць на цікавым мерапрыемствы (ці арганізаваць яго?), проста адчуць водар беларушчыны, а хутка і выпіць цёплай гарбаткі ці кавы – вам у дзверы з велічэзным надпісам «Арт Сядзіба» побач :)
Postion	Tokenization
1	🌱
2	А
3	калі
4	хочаце
5	пабываць
6	на
7	цікавым
8	мерапрыемствы
9	(
10	ці
11	арганізаваць
12	яго
13	?
14	)
15	,
16	проста
17	адчуць
18	водар
19	беларушчыны
20	,
21	а
22	хутка
23	і
24	выпіць
25	цёплай
26	гарбаткі
27	ці
28	кавы
29	–
30	вам
31	у
32	дзверы
33	з
34	велічэзным
35	надпісам
36	«
37	Арт
38	Сядзіба
39	»
40	побач
41	:)
Position	Tokenization	UPOS	Head	Deprel
1	🌱	SYM	32	discourse
2	А	CCONJ	4	cc
3	калі	SCONJ	4	mark
4	хочаце	VERB	32	advcl
5	пабываць	VERB	4	xcomp
6	на	ADP	8	case
7	цікавым	ADJ	8	amod
8	мерапрыемствы	NOUN	5	obl
9	(	PUNCT	11	punct
10	ці	CCONJ	11	cc
11	арганізаваць	VERB	5	conj
12	яго	PRON	11	obj
13	?	PUNCT	11	punct
14	)	PUNCT	11	punct
15	,	PUNCT	17	punct
16	проста	PART	17	advmod
17	адчуць	VERB	5	conj
18	водар	NOUN	17	obj
19	беларушчыны	NOUN	18	nmod
20	,	PUNCT	24	punct
21	а	CCONJ	24	cc
22	хутка	ADV	24	advmod
23	і	PART	24	advmod
24	выпіць	VERB	5	conj
25	цёплай	ADJ	26	amod
26	гарбаткі	NOUN	24	obj
27	ці	CCONJ	28	cc
28	кавы	NOUN	26	conj
29	–	PUNCT	4	punct
30	вам	PRON	32	iobj
31	у	ADP	32	case
32	дзверы	NOUN	0	root
33	з	ADP	35	case
34	велічэзным	ADJ	35	amod
35	надпісам	NOUN	32	nmod
36	«	PUNCT	38	punct
37	Арт	NOUN	38	compound
38	Сядзіба	NOUN	35	appos
39	»	PUNCT	38	punct
40	побач	ADV	35	advmod
41	:)	SYM	32	discourse