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:
O společně sdílených pozitivních idejích se z těchto důvodů nedalo hovořit, proto mělo Občanské hnutí takové problémy se sebeidentifikací před voliči v posledních parlamentních volbách.
Postion	Tokenization
1	O
2	společně
3	sdílených
4	pozitivních
5	idejích
6	se
7	z
8	těchto
9	důvodů
10	nedalo
11	hovořit
12	,
13	proto
14	mělo
15	Občanské
16	hnutí
17	takové
18	problémy
19	se
20	sebeidentifikací
21	před
22	voliči
23	v
24	posledních
25	parlamentních
26	volbách
27	.
Position	Tokenization	UPOS	Head	Deprel
1	O	ADP	5	case
2	společně	ADV	3	advmod
3	sdílených	ADJ	5	amod
4	pozitivních	ADJ	5	amod
5	idejích	NOUN	11	obl:arg
6	se	PRON	10	expl:pass
7	z	ADP	9	case
8	těchto	DET	9	det
9	důvodů	NOUN	11	obl
10	nedalo	VERB	0	root
11	hovořit	VERB	10	csubj:pass
12	,	PUNCT	14	punct
13	proto	CCONJ	14	cc
14	mělo	VERB	10	conj
15	Občanské	ADJ	16	amod
16	hnutí	NOUN	14	nsubj
17	takové	DET	18	det
18	problémy	NOUN	14	obj
19	se	ADP	20	case
20	sebeidentifikací	NOUN	18	nmod
21	před	ADP	22	case
22	voliči	NOUN	14	obl
23	v	ADP	26	case
24	posledních	ADJ	26	amod
25	parlamentních	ADJ	26	amod
26	volbách	NOUN	14	obl
27	.	PUNCT	10	punct