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:
Мы былі гатовыя да фальсіфікацыяў ды штрафаў, але ж нечакана, я асабіста атрымала віншаванні з 8-сакавіка, а усе разам мы атрымалі прафілактычную размову.
Postion	Tokenization
1	Мы
2	былі
3	гатовыя
4	да
5	фальсіфікацыяў
6	ды
7	штрафаў
8	,
9	але
10	ж
11	нечакана
12	,
13	я
14	асабіста
15	атрымала
16	віншаванні
17	з
18	8
19	-
20	сакавіка
21	,
22	а
23	усе
24	разам
25	мы
26	атрымалі
27	прафілактычную
28	размову
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Мы	PRON	3	nsubj
2	былі	AUX	3	cop
3	гатовыя	ADJ	0	root
4	да	ADP	5	case
5	фальсіфікацыяў	NOUN	3	obl
6	ды	CCONJ	7	cc
7	штрафаў	NOUN	5	conj
8	,	PUNCT	15	punct
9	але	CCONJ	15	cc
10	ж	PART	9	fixed
11	нечакана	ADV	15	advmod
12	,	PUNCT	11	punct
13	я	PRON	15	nsubj
14	асабіста	ADV	15	advmod
15	атрымала	VERB	3	conj
16	віншаванні	NOUN	15	obj
17	з	ADP	18	case
18	8	ADJ	16	nmod
19	-	PUNCT	20	punct
20	сакавіка	NOUN	18	flat
21	,	PUNCT	26	punct
22	а	CCONJ	26	cc
23	усе	DET	26	acl
24	разам	ADV	23	advmod
25	мы	PRON	26	nsubj
26	атрымалі	VERB	3	conj
27	прафілактычную	ADJ	28	amod
28	размову	NOUN	26	obj
29	.	PUNCT	3	punct