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:
Psychologický vývoj postav neskýtá sebemenší překvapení, vcelku bez problému lze odhadnout, že i největší padouch Manuel bude po zásluze potrestán.
Postion	Tokenization
1	Psychologický
2	vývoj
3	postav
4	neskýtá
5	sebemenší
6	překvapení
7	,
8	vcelku
9	bez
10	problému
11	lze
12	odhadnout
13	,
14	že
15	i
16	největší
17	padouch
18	Manuel
19	bude
20	po
21	zásluze
22	potrestán
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Psychologický	ADJ	2	amod
2	vývoj	NOUN	4	nsubj
3	postav	NOUN	2	nmod
4	neskýtá	VERB	0	root
5	sebemenší	ADJ	6	amod
6	překvapení	NOUN	4	obj
7	,	PUNCT	11	punct
8	vcelku	ADV	12	advmod
9	bez	ADP	10	case
10	problému	NOUN	12	obl
11	lze	VERB	4	conj
12	odhadnout	VERB	11	csubj
13	,	PUNCT	22	punct
14	že	SCONJ	22	mark
15	i	CCONJ	17	advmod:emph
16	největší	ADJ	17	amod
17	padouch	NOUN	22	nsubj:pass
18	Manuel	PROPN	17	flat
19	bude	AUX	22	aux:pass
20	po	ADP	21	case
21	zásluze	NOUN	22	obl
22	potrestán	ADJ	12	obj
23	.	PUNCT	4	punct