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:
Na rozdíl od J. Fraňka se proto domnívám, že rabín Weiss nejenže nebyl v Terezíně netolerantní, ale se svými druhy učinil, co je dobré pro lidi.
Postion	Tokenization
1	Na
2	rozdíl
3	od
4	J
5	.
6	Fraňka
7	se
8	proto
9	domnívám
10	,
11	že
12	rabín
13	Weiss
14	nejenže
15	nebyl
16	v
17	Terezíně
18	netolerantní
19	,
20	ale
21	se
22	svými
23	druhy
24	učinil
25	,
26	co
27	je
28	dobré
29	pro
30	lidi
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	4	case
2	rozdíl	NOUN	1	fixed
3	od	ADP	1	fixed
4	J	PROPN	9	obl
5	.	PUNCT	4	punct
6	Fraňka	PROPN	4	flat
7	se	PRON	9	expl:pv
8	proto	CCONJ	9	cc
9	domnívám	VERB	0	root
10	,	PUNCT	18	punct
11	že	SCONJ	18	mark
12	rabín	NOUN	18	nsubj
13	Weiss	PROPN	12	flat
14	nejenže	ADV	18	advmod:emph
15	nebyl	AUX	18	cop
16	v	ADP	17	case
17	Terezíně	PROPN	18	obl
18	netolerantní	ADJ	9	ccomp
19	,	PUNCT	24	punct
20	ale	CCONJ	24	cc
21	se	ADP	23	case
22	svými	DET	23	det
23	druhy	NOUN	24	obl
24	učinil	VERB	18	conj
25	,	PUNCT	28	punct
26	co	PRON	28	nsubj
27	je	AUX	28	cop
28	dobré	ADJ	24	ccomp
29	pro	ADP	30	case
30	lidi	NOUN	28	obl
31	.	PUNCT	9	punct