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 text: Napadlo mě, že na Šumavě jsou tisíce hektarů neobdělaných pozemků, kde by se bizoni dali chovat," vysvětluje Jiří Rybák, původním povoláním chemik, nyní obchodník s horolezeckými potřebami.
Position	Tokenization	UPOS	Head	Deprel
1	Napadlo	VERB	21	ccomp
2	mě	PRON	1	obj
3	,	PUNCT	7	punct
4	že	SCONJ	7	mark
5	na	ADP	6	case
6	Šumavě	PROPN	7	obl
7	jsou	VERB	1	csubj
8	tisíce	NOUN	7	nsubj
9	hektarů	NOUN	8	nmod
10	neobdělaných	ADJ	11	amod
11	pozemků	NOUN	9	nmod
12	,	PUNCT	17	punct
13	kde	ADV	17	advmod
14	by	AUX	17	aux
15	se	PRON	17	expl:pass
16	bizoni	NOUN	17	nsubj:pass
17	dali	VERB	11	acl:relcl
18	chovat	VERB	17	xcomp
19	,	PUNCT	1	punct
20	"	PUNCT	1	punct
21	vysvětluje	VERB	0	root
22	Jiří	PROPN	21	nsubj
23	Rybák	PROPN	22	flat
24	,	PUNCT	27	punct
25	původním	ADJ	26	amod
26	povoláním	NOUN	27	nmod
27	chemik	NOUN	22	appos
28	,	PUNCT	30	punct
29	nyní	ADV	30	advmod
30	obchodník	NOUN	27	conj
31	s	ADP	33	case
32	horolezeckými	ADJ	33	amod
33	potřebami	NOUN	30	nmod
34	.	PUNCT	21	punct