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:
Půvab a úspěch brněnské Silné v zoologii spočíval v tom, že Pitínský nechal především působit jazyk Mrázovy hry, vyšinutý do dokonalé archaičnosti.
Postion	Tokenization
1	Půvab
2	a
3	úspěch
4	brněnské
5	Silné
6	v
7	zoologii
8	spočíval
9	v
10	tom
11	,
12	že
13	Pitínský
14	nechal
15	především
16	působit
17	jazyk
18	Mrázovy
19	hry
20	,
21	vyšinutý
22	do
23	dokonalé
24	archaičnosti
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Půvab	NOUN	8	nsubj
2	a	CCONJ	3	cc
3	úspěch	NOUN	1	conj
4	brněnské	ADJ	5	amod
5	Silné	ADJ	1	amod
6	v	ADP	7	case
7	zoologii	NOUN	5	nmod
8	spočíval	VERB	0	root
9	v	ADP	10	case
10	tom	DET	8	obl:arg
11	,	PUNCT	14	punct
12	že	SCONJ	14	mark
13	Pitínský	PROPN	14	nsubj
14	nechal	VERB	10	acl
15	především	ADV	16	advmod:emph
16	působit	VERB	14	xcomp
17	jazyk	NOUN	16	obj
18	Mrázovy	ADJ	19	amod
19	hry	NOUN	17	nmod
20	,	PUNCT	21	punct
21	vyšinutý	ADJ	17	amod
22	do	ADP	24	case
23	dokonalé	ADJ	24	amod
24	archaičnosti	NOUN	21	obl
25	.	PUNCT	8	punct