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:
Snad nám nebudou mít případní zájemci z kategorie' mladá rodina s více dětmi' za zlé, když jim neprozradíme, kde vzít potřebných 969828 korun.
Postion	Tokenization
1	Snad
2	nám
3	nebudou
4	mít
5	případní
6	zájemci
7	z
8	kategorie
9	'
10	mladá
11	rodina
12	s
13	více
14	dětmi
15	'
16	za
17	zlé
18	,
19	když
20	jim
21	neprozradíme
22	,
23	kde
24	vzít
25	potřebných
26	969828
27	korun
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Snad	ADV	4	advmod
2	nám	PRON	4	obl:arg
3	nebudou	AUX	4	aux
4	mít	VERB	0	root
5	případní	ADJ	6	amod
6	zájemci	NOUN	4	nsubj
7	z	ADP	8	case
8	kategorie	NOUN	6	nmod
9	'	PUNCT	11	punct
10	mladá	ADJ	11	amod
11	rodina	NOUN	8	nmod
12	s	ADP	14	case
13	více	ADV	14	advmod
14	dětmi	NOUN	11	nmod
15	'	PUNCT	11	punct
16	za	ADP	17	case
17	zlé	ADJ	4	obl:arg
18	,	PUNCT	21	punct
19	když	SCONJ	21	mark
20	jim	PRON	21	obl:arg
21	neprozradíme	VERB	4	ccomp
22	,	PUNCT	24	punct
23	kde	ADV	24	advmod
24	vzít	VERB	21	xcomp
25	potřebných	ADJ	26	amod
26	969828	NUM	27	nummod:gov
27	korun	NOUN	24	obj
28	.	PUNCT	4	punct