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:
Svou prostou většinou sice ODS a HZDS dokázaly napravit program jednání parlamentu, k prosazení nutně potřebných zákonů však je zapotřebí třípětinové většiny, a tedy i hlasů opozice.
Postion	Tokenization
1	Svou
2	prostou
3	většinou
4	sice
5	ODS
6	a
7	HZDS
8	dokázaly
9	napravit
10	program
11	jednání
12	parlamentu
13	,
14	k
15	prosazení
16	nutně
17	potřebných
18	zákonů
19	však
20	je
21	zapotřebí
22	třípětinové
23	většiny
24	,
25	a
26	tedy
27	i
28	hlasů
29	opozice
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Svou	DET	3	det
2	prostou	ADJ	3	amod
3	většinou	NOUN	8	obl
4	sice	ADV	8	cc
5	ODS	PROPN	8	nsubj
6	a	CCONJ	7	cc
7	HZDS	PROPN	5	conj
8	dokázaly	VERB	0	root
9	napravit	VERB	8	xcomp
10	program	NOUN	9	obj
11	jednání	NOUN	10	nmod
12	parlamentu	NOUN	11	nmod
13	,	PUNCT	21	punct
14	k	ADP	15	case
15	prosazení	NOUN	21	obl
16	nutně	ADV	17	advmod
17	potřebných	ADJ	18	amod
18	zákonů	NOUN	15	nmod
19	však	CCONJ	21	cc
20	je	AUX	21	cop
21	zapotřebí	ADV	8	conj
22	třípětinové	ADJ	23	amod
23	většiny	NOUN	21	nsubj
24	,	PUNCT	28	punct
25	a	CCONJ	28	cc
26	tedy	ADV	28	cc
27	i	CCONJ	28	advmod:emph
28	hlasů	NOUN	23	appos
29	opozice	NOUN	28	nmod
30	.	PUNCT	8	punct