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:
Přesvědčit voliče o nepostradatelnosti liberálů na německé politické scéně- to byl hlavní cíl sjezdu Svobodné demokratické strany (FDP), který se včera konal v Norimberku.
Postion	Tokenization
1	Přesvědčit
2	voliče
3	o
4	nepostradatelnosti
5	liberálů
6	na
7	německé
8	politické
9	scéně
10	-
11	to
12	byl
13	hlavní
14	cíl
15	sjezdu
16	Svobodné
17	demokratické
18	strany
19	(
20	FDP
21	)
22	,
23	který
24	se
25	včera
26	konal
27	v
28	Norimberku
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Přesvědčit	VERB	14	csubj
2	voliče	NOUN	1	obj
3	o	ADP	4	case
4	nepostradatelnosti	NOUN	1	obl:arg
5	liberálů	NOUN	4	nmod
6	na	ADP	9	case
7	německé	ADJ	9	amod
8	politické	ADJ	9	amod
9	scéně	NOUN	4	nmod
10	-	PUNCT	11	punct
11	to	DET	1	appos
12	byl	AUX	14	cop
13	hlavní	ADJ	14	amod
14	cíl	NOUN	0	root
15	sjezdu	NOUN	14	nmod
16	Svobodné	ADJ	18	amod
17	demokratické	ADJ	18	amod
18	strany	NOUN	15	nmod
19	(	PUNCT	20	punct
20	FDP	PROPN	18	appos
21	)	PUNCT	20	punct
22	,	PUNCT	26	punct
23	který	DET	26	nsubj
24	se	PRON	26	expl:pv
25	včera	ADV	26	advmod
26	konal	VERB	15	acl:relcl
27	v	ADP	28	case
28	Norimberku	PROPN	26	obl
29	.	PUNCT	14	punct