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:
"Jako brněnský rodák jsem se od lidí z tamní zoologické zahrady dověděl o problémech, které mají s chovem bizonů na malém prostoru.
Postion	Tokenization
1	"
2	Jako
3	brněnský
4	rodák
5	jsem
6	se
7	od
8	lidí
9	z
10	tamní
11	zoologické
12	zahrady
13	dověděl
14	o
15	problémech
16	,
17	které
18	mají
19	s
20	chovem
21	bizonů
22	na
23	malém
24	prostoru
25	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	13	punct
2	Jako	SCONJ	4	mark
3	brněnský	ADJ	4	amod
4	rodák	NOUN	13	xcomp
5	jsem	AUX	13	aux
6	se	PRON	13	expl:pv
7	od	ADP	8	case
8	lidí	NOUN	13	obl:arg
9	z	ADP	12	case
10	tamní	ADJ	12	amod
11	zoologické	ADJ	12	amod
12	zahrady	NOUN	8	nmod
13	dověděl	VERB	0	root
14	o	ADP	15	case
15	problémech	NOUN	13	obl:arg
16	,	PUNCT	18	punct
17	které	DET	18	obj
18	mají	VERB	15	acl:relcl
19	s	ADP	20	case
20	chovem	NOUN	18	obl
21	bizonů	NOUN	20	nmod
22	na	ADP	24	case
23	malém	ADJ	24	amod
24	prostoru	NOUN	20	nmod
25	.	PUNCT	13	punct