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:
Australská královská společnost pro ochranu zvířat před týráním publikovala zprávu dr.Petera Nichola o nebývalém vzrůstu počtu rakoviny kůže u koček ve státě Nový Jižní Wales.
Postion	Tokenization
1	Australská
2	královská
3	společnost
4	pro
5	ochranu
6	zvířat
7	před
8	týráním
9	publikovala
10	zprávu
11	dr
12	.
13	Petera
14	Nichola
15	o
16	nebývalém
17	vzrůstu
18	počtu
19	rakoviny
20	kůže
21	u
22	koček
23	ve
24	státě
25	Nový
26	Jižní
27	Wales
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Australská	ADJ	3	amod
2	královská	ADJ	3	amod
3	společnost	NOUN	9	nsubj
4	pro	ADP	5	case
5	ochranu	NOUN	3	nmod
6	zvířat	NOUN	5	nmod
7	před	ADP	8	case
8	týráním	NOUN	5	nmod
9	publikovala	VERB	0	root
10	zprávu	NOUN	9	obj
11	dr	NOUN	13	nmod
12	.	PUNCT	11	punct
13	Petera	PROPN	10	nmod
14	Nichola	PROPN	13	flat
15	o	ADP	17	case
16	nebývalém	ADJ	17	amod
17	vzrůstu	NOUN	10	nmod
18	počtu	NOUN	17	nmod
19	rakoviny	NOUN	18	nmod
20	kůže	NOUN	19	nmod
21	u	ADP	22	case
22	koček	NOUN	17	nmod
23	ve	ADP	24	case
24	státě	NOUN	22	nmod
25	Nový	ADJ	27	amod
26	Jižní	ADJ	27	amod
27	Wales	PROPN	24	nmod
28	.	PUNCT	9	punct