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:
Podle obhájkyně obžalovaného JUDr. J. Fišerové vychází žaloba, týkající se neoprávněného prodeje více než dvou a půl tisíce zvířat, ze špatného základu.
Postion	Tokenization
1	Podle
2	obhájkyně
3	obžalovaného
4	JUDr
5	.
6	J
7	.
8	Fišerové
9	vychází
10	žaloba
11	,
12	týkající
13	se
14	neoprávněného
15	prodeje
16	více
17	než
18	dvou
19	a
20	půl
21	tisíce
22	zvířat
23	,
24	ze
25	špatného
26	základu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	obhájkyně	NOUN	9	obl
3	obžalovaného	ADJ	4	amod
4	JUDr	NOUN	2	nmod
5	.	PUNCT	4	punct
6	J	PROPN	4	flat
7	.	PUNCT	4	punct
8	Fišerové	PROPN	2	flat
9	vychází	VERB	0	root
10	žaloba	NOUN	9	nsubj
11	,	PUNCT	12	punct
12	týkající	ADJ	10	amod
13	se	PRON	12	expl:pv
14	neoprávněného	ADJ	15	amod
15	prodeje	NOUN	12	obl:arg
16	více	ADV	22	advmod
17	než	SCONJ	21	mark
18	dvou	NUM	21	nummod:gov
19	a	CCONJ	20	cc
20	půl	NUM	18	conj
21	tisíce	NOUN	16	obl
22	zvířat	NOUN	15	nmod
23	,	PUNCT	12	punct
24	ze	ADP	26	case
25	špatného	ADJ	26	amod
26	základu	NOUN	9	obl
27	.	PUNCT	9	punct