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:
Jsou určité stavy, které člověk-stroj považuje za žádoucí (říkejme jim třeba štěstí), a snaží se jednat tak, aby tyto stavy byly co nejčastější.
Postion	Tokenization
1	Jsou
2	určité
3	stavy
4	,
5	které
6	člověk
7	-
8	stroj
9	považuje
10	za
11	žádoucí
12	(
13	říkejme
14	jim
15	třeba
16	štěstí
17	)
18	,
19	a
20	snaží
21	se
22	jednat
23	tak
24	,
25	aby
26	aby
27	by
28	tyto
29	stavy
30	byly
31	co
32	nejčastější
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Jsou	VERB	0	root
2	určité	ADJ	3	amod
3	stavy	NOUN	1	nsubj
4	,	PUNCT	9	punct
5	které	DET	9	obj
6	člověk	NOUN	9	nsubj
7	-	PUNCT	8	punct
8	stroj	NOUN	6	nmod
9	považuje	VERB	3	acl:relcl
10	za	ADP	11	case
11	žádoucí	ADJ	9	obl:arg
12	(	PUNCT	13	punct
13	říkejme	VERB	3	parataxis
14	jim	PRON	13	obl:arg
15	třeba	ADV	16	advmod:emph
16	štěstí	NOUN	13	obj
17	)	PUNCT	13	punct
18	,	PUNCT	20	punct
19	a	CCONJ	20	cc
20	snaží	VERB	1	conj
21	se	PRON	20	expl:pv
22	jednat	VERB	20	xcomp
23	tak	ADV	22	advmod
24	,	PUNCT	31	punct
25	aby	_	None	_
26	aby	SCONJ	31	mark
27	by	AUX	31	aux
28	tyto	DET	28	det
29	stavy	NOUN	31	nsubj
30	byly	AUX	31	cop
31	co	ADV	31	advmod
32	nejčastější	ADJ	22	advcl
33	.	PUNCT	1	punct