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:
Ve svém hlavním projevu na sněmu Dienstbier řekl, že v komunálních volbách uspěli svobodní demokraté tam, "kde vystoupili jako sebevědomý politický subjekt".
Postion	Tokenization
1	Ve
2	svém
3	hlavním
4	projevu
5	na
6	sněmu
7	Dienstbier
8	řekl
9	,
10	že
11	v
12	komunálních
13	volbách
14	uspěli
15	svobodní
16	demokraté
17	tam
18	,
19	"
20	kde
21	vystoupili
22	jako
23	sebevědomý
24	politický
25	subjekt
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	4	case
2	svém	DET	4	det
3	hlavním	ADJ	4	amod
4	projevu	NOUN	8	obl
5	na	ADP	6	case
6	sněmu	NOUN	4	nmod
7	Dienstbier	PROPN	8	nsubj
8	řekl	VERB	0	root
9	,	PUNCT	14	punct
10	že	SCONJ	14	mark
11	v	ADP	13	case
12	komunálních	ADJ	13	amod
13	volbách	NOUN	14	obl
14	uspěli	VERB	8	ccomp
15	svobodní	ADJ	16	amod
16	demokraté	NOUN	14	nsubj
17	tam	ADV	14	advmod
18	,	PUNCT	21	punct
19	"	PUNCT	21	punct
20	kde	ADV	21	advmod
21	vystoupili	VERB	14	advcl
22	jako	SCONJ	25	mark
23	sebevědomý	ADJ	25	amod
24	politický	ADJ	25	amod
25	subjekt	NOUN	21	xcomp
26	"	PUNCT	21	punct
27	.	PUNCT	8	punct