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:
Protože pokud člověk žije mezi dobrými lidmi, zjistí, že vlastně skoro žádné hmotné statky k životu nepotřebuje a může být šťastný i s kontem na nule!
Postion	Tokenization
1	Protože
2	pokud
3	člověk
4	žije
5	mezi
6	dobrými
7	lidmi
8	,
9	zjistí
10	,
11	že
12	vlastně
13	skoro
14	žádné
15	hmotné
16	statky
17	k
18	životu
19	nepotřebuje
20	a
21	může
22	být
23	šťastný
24	i
25	s
26	kontem
27	na
28	nule
29	!
Position	Tokenization	UPOS	Head	Deprel
1	Protože	SCONJ	4	mark
2	pokud	SCONJ	4	mark
3	člověk	NOUN	4	nsubj
4	žije	VERB	9	advcl
5	mezi	ADP	7	case
6	dobrými	ADJ	7	amod
7	lidmi	NOUN	4	obl
8	,	PUNCT	4	punct
9	zjistí	VERB	0	root
10	,	PUNCT	19	punct
11	že	SCONJ	19	mark
12	vlastně	ADV	19	advmod
13	skoro	ADV	14	advmod
14	žádné	DET	16	det
15	hmotné	ADJ	16	amod
16	statky	NOUN	19	obj
17	k	ADP	18	case
18	životu	NOUN	19	obl
19	nepotřebuje	VERB	9	ccomp
20	a	CCONJ	21	cc
21	může	VERB	19	conj
22	být	AUX	23	cop
23	šťastný	ADJ	21	xcomp
24	i	CCONJ	26	advmod:emph
25	s	ADP	26	case
26	kontem	NOUN	21	obl
27	na	ADP	28	case
28	nule	NOUN	26	nmod
29	!	PUNCT	9	punct