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:
Toto znění je v porovnání s původní předlohou velice zúžené a místo nápravy křivd může vyvolat nejen křivdy další, ale i prohloubit animozitu vůči židovským spoluobčanům.
Postion	Tokenization
1	Toto
2	znění
3	je
4	v
5	porovnání
6	s
7	původní
8	předlohou
9	velice
10	zúžené
11	a
12	místo
13	nápravy
14	křivd
15	může
16	vyvolat
17	nejen
18	křivdy
19	další
20	,
21	ale
22	i
23	prohloubit
24	animozitu
25	vůči
26	židovským
27	spoluobčanům
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Toto	DET	2	det
2	znění	NOUN	10	nsubj
3	je	AUX	10	cop
4	v	ADP	8	case
5	porovnání	NOUN	4	fixed
6	s	ADP	4	fixed
7	původní	ADJ	8	amod
8	předlohou	NOUN	10	obl
9	velice	ADV	10	advmod
10	zúžené	ADJ	0	root
11	a	CCONJ	15	cc
12	místo	ADP	13	case
13	nápravy	NOUN	15	obl
14	křivd	NOUN	13	nmod
15	může	VERB	10	conj
16	vyvolat	VERB	15	xcomp
17	nejen	PART	18	advmod:emph
18	křivdy	NOUN	16	obj
19	další	ADJ	18	amod
20	,	PUNCT	23	punct
21	ale	CCONJ	23	cc
22	i	CCONJ	23	advmod:emph
23	prohloubit	VERB	16	conj
24	animozitu	NOUN	23	obj
25	vůči	ADP	27	case
26	židovským	ADJ	27	amod
27	spoluobčanům	NOUN	24	nmod
28	.	PUNCT	10	punct