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:
Konstatoval, že v Maďarsku žije největší židovská komunita ve východní a střední Evropě, a proto v zemi nesmějí vznikat žádné myšlenky a tendence, jež by v tomto společenství mohly vzbudit strach.
Postion	Tokenization
1	Konstatoval
2	,
3	že
4	v
5	Maďarsku
6	žije
7	největší
8	židovská
9	komunita
10	ve
11	východní
12	a
13	střední
14	Evropě
15	,
16	a
17	proto
18	v
19	zemi
20	nesmějí
21	vznikat
22	žádné
23	myšlenky
24	a
25	tendence
26	,
27	jež
28	by
29	v
30	tomto
31	společenství
32	mohly
33	vzbudit
34	strach
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Konstatoval	VERB	0	root
2	,	PUNCT	6	punct
3	že	SCONJ	6	mark
4	v	ADP	5	case
5	Maďarsku	PROPN	6	obl
6	žije	VERB	1	ccomp
7	největší	ADJ	9	amod
8	židovská	ADJ	9	amod
9	komunita	NOUN	6	nsubj
10	ve	ADP	14	case
11	východní	ADJ	14	amod
12	a	CCONJ	13	cc
13	střední	ADJ	11	conj
14	Evropě	PROPN	9	nmod
15	,	PUNCT	6	punct
16	a	CCONJ	20	cc
17	proto	CCONJ	20	cc
18	v	ADP	19	case
19	zemi	NOUN	20	obl
20	nesmějí	VERB	1	conj
21	vznikat	VERB	20	xcomp
22	žádné	DET	23	det
23	myšlenky	NOUN	20	nsubj
24	a	CCONJ	25	cc
25	tendence	NOUN	23	conj
26	,	PUNCT	32	punct
27	jež	PRON	32	nsubj
28	by	AUX	32	aux
29	v	ADP	31	case
30	tomto	DET	31	det
31	společenství	NOUN	32	obl
32	mohly	VERB	23	acl:relcl
33	vzbudit	VERB	32	xcomp
34	strach	NOUN	33	obj
35	.	PUNCT	1	punct