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:
Samozřejmě, že zejména po nedávném brněnském setkání reprezentací ODS a HZDS, které vyústilo ve schůdný scénář rozchodu, by opakovaný průzkum mohl vyznít jinak.
Postion	Tokenization
1	Samozřejmě
2	,
3	že
4	zejména
5	po
6	nedávném
7	brněnském
8	setkání
9	reprezentací
10	ODS
11	a
12	HZDS
13	,
14	které
15	vyústilo
16	ve
17	schůdný
18	scénář
19	rozchodu
20	,
21	by
22	opakovaný
23	průzkum
24	mohl
25	vyznít
26	jinak
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Samozřejmě	ADV	0	root
2	,	PUNCT	24	punct
3	že	SCONJ	24	mark
4	zejména	ADV	8	advmod:emph
5	po	ADP	8	case
6	nedávném	ADJ	8	amod
7	brněnském	ADJ	8	amod
8	setkání	NOUN	24	obl
9	reprezentací	NOUN	8	nmod
10	ODS	PROPN	9	nmod
11	a	CCONJ	12	cc
12	HZDS	PROPN	10	conj
13	,	PUNCT	15	punct
14	které	DET	15	nsubj
15	vyústilo	VERB	8	acl:relcl
16	ve	ADP	18	case
17	schůdný	ADJ	18	amod
18	scénář	NOUN	15	obl:arg
19	rozchodu	NOUN	18	nmod
20	,	PUNCT	15	punct
21	by	AUX	24	aux
22	opakovaný	ADJ	23	amod
23	průzkum	NOUN	24	nsubj
24	mohl	VERB	1	dep
25	vyznít	VERB	24	xcomp
26	jinak	ADV	25	advmod
27	.	PUNCT	1	punct