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:
Пра вясковага блогера фермера з-пад Баранавічаў і яго барацьбу за справядлівасць распавядзе ў сваім фільме “Цар гары” (2017) Андрэй Куціла.
Postion	Tokenization
1	Пра
2	вясковага
3	блогера
4	фермера
5	з-пад
6	Баранавічаў
7	і
8	яго
9	барацьбу
10	за
11	справядлівасць
12	распавядзе
13	ў
14	сваім
15	фільме
16	“
17	Цар
18	гары
19	”
20	(
21	2017
22	)
23	Андрэй
24	Куціла
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Пра	ADP	3	case
2	вясковага	ADJ	3	amod
3	блогера	NOUN	12	obl
4	фермера	NOUN	3	appos
5	з-пад	ADP	6	case
6	Баранавічаў	PROPN	3	nmod
7	і	CCONJ	9	cc
8	яго	DET	9	det
9	барацьбу	NOUN	3	conj
10	за	ADP	11	case
11	справядлівасць	NOUN	9	obl
12	распавядзе	VERB	0	root
13	ў	ADP	15	case
14	сваім	DET	15	det
15	фільме	NOUN	12	obl
16	“	PUNCT	17	punct
17	Цар	NOUN	15	appos
18	гары	NOUN	17	nmod
19	”	PUNCT	17	punct
20	(	PUNCT	21	punct
21	2017	ADJ	15	parataxis
22	)	PUNCT	21	punct
23	Андрэй	PROPN	12	nsubj
24	Куціла	PROPN	23	flat:name
25	.	PUNCT	12	punct