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 text: Ёсць сярод іх удзельнікі анлайн-фестываляў BelarusDocs-2016 (“Дудар” Юрыя Цімафеева) і BelarusDocs-2018 (“Сяргей Плыткевіч. Чалавек з фотаапаратам” Вольгі Дашук, “Агмень” Юрыя Цімафеева і “Янка Купала” Віктара Аслюка), ёсць фільм Халімы Хасанавай “Афганістан. Я памятаю”, які набыў вірусную папулярнасць у ютубе.
Position	Tokenization	UPOS	Head	Deprel
1	Ёсць	VERB	0	root
2	сярод	ADP	3	case
3	іх	PRON	1	obl
4	удзельнікі	NOUN	1	nsubj
5	анлайн-фестываляў	NOUN	4	nmod
6	BelarusDocs	X	5	appos
7	-	PUNCT	8	punct
8	2016	ADJ	6	appos
9	(	PUNCT	11	punct
10	“	PUNCT	11	punct
11	Дудар	PROPN	6	parataxis
12	”	PUNCT	11	punct
13	Юрыя	PROPN	11	nmod
14	Цімафеева	PROPN	13	flat:name
15	)	PUNCT	11	punct
16	і	CCONJ	17	cc
17	BelarusDocs	X	6	conj
18	-	PUNCT	19	punct
19	2018	ADJ	17	appos
20	(	PUNCT	22	punct
21	“	PUNCT	22	punct
22	Сяргей	PROPN	17	parataxis
23	Плыткевіч	PROPN	22	flat:name
24	.	PUNCT	25	punct
25	Чалавек	NOUN	22	parataxis
26	з	ADP	27	case
27	фотаапаратам	NOUN	25	nmod
28	”	PUNCT	22	punct
29	Вольгі	PROPN	22	nmod
30	Дашук	PROPN	29	flat:name
31	,	PUNCT	33	punct
32	“	PUNCT	33	punct
33	Агмень	NOUN	22	conj
34	”	PUNCT	33	punct
35	Юрыя	PROPN	33	nmod
36	Цімафеева	PROPN	35	flat:name
37	і	CCONJ	39	cc
38	“	PUNCT	39	punct
39	Янка	PROPN	22	conj
40	Купала	PROPN	39	flat:name
41	”	PUNCT	39	punct
42	Віктара	PROPN	39	nmod
43	Аслюка	PROPN	42	flat:name
44	)	PUNCT	22	punct
45	,	PUNCT	46	punct
46	ёсць	VERB	1	conj
47	фільм	NOUN	46	nsubj
48	Халімы	PROPN	47	nmod
49	Хасанавай	PROPN	48	flat:name
50	“	PUNCT	51	punct
51	Афганістан	PROPN	47	appos
52	.	PUNCT	54	punct
53	Я	PRON	54	nsubj
54	памятаю	VERB	51	parataxis
55	”	PUNCT	51	punct
56	,	PUNCT	58	punct
57	які	PRON	58	nsubj
58	набыў	VERB	47	acl:relcl
59	вірусную	ADJ	60	amod
60	папулярнасць	NOUN	58	obj
61	у	ADP	62	case
62	ютубе	PROPN	58	obl
63	.	PUNCT	1	punct