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:
Není dosti pravděpodobné, že by parlament přijal vyrovnaný rozpočet na věky věků, je však naopak velmi pravděpodobné, že přijme vyrovnaný rozpočet pro příští rok.
Postion	Tokenization
1	Není
2	dosti
3	pravděpodobné
4	,
5	že
6	by
7	parlament
8	přijal
9	vyrovnaný
10	rozpočet
11	na
12	věky
13	věků
14	,
15	je
16	však
17	naopak
18	velmi
19	pravděpodobné
20	,
21	že
22	přijme
23	vyrovnaný
24	rozpočet
25	pro
26	příští
27	rok
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Není	AUX	3	cop
2	dosti	ADV	3	advmod
3	pravděpodobné	ADJ	0	root
4	,	PUNCT	8	punct
5	že	SCONJ	8	mark
6	by	AUX	8	aux
7	parlament	NOUN	8	nsubj
8	přijal	VERB	3	csubj
9	vyrovnaný	ADJ	10	amod
10	rozpočet	NOUN	8	obj
11	na	ADP	12	case
12	věky	NOUN	10	nmod
13	věků	NOUN	12	nmod
14	,	PUNCT	19	punct
15	je	AUX	19	cop
16	však	CCONJ	19	cc
17	naopak	ADV	19	cc
18	velmi	ADV	19	advmod
19	pravděpodobné	ADJ	3	conj
20	,	PUNCT	22	punct
21	že	SCONJ	22	mark
22	přijme	VERB	19	csubj
23	vyrovnaný	ADJ	24	amod
24	rozpočet	NOUN	22	obj
25	pro	ADP	27	case
26	příští	ADJ	27	amod
27	rok	NOUN	24	nmod
28	.	PUNCT	3	punct