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:
Normálně se to nestává, komentovala to česká tenistka Radka Bobková, která měla po newyorském US Open v plánu právě karlovarskou akci.
Postion	Tokenization
1	Normálně
2	se
3	to
4	nestává
5	,
6	komentovala
7	to
8	česká
9	tenistka
10	Radka
11	Bobková
12	,
13	která
14	měla
15	po
16	newyorském
17	US
18	Open
19	v
20	plánu
21	právě
22	karlovarskou
23	akci
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Normálně	ADV	4	advmod
2	se	PRON	4	expl:pv
3	to	DET	4	nsubj
4	nestává	VERB	0	root
5	,	PUNCT	6	punct
6	komentovala	VERB	4	conj
7	to	DET	6	obj
8	česká	ADJ	9	amod
9	tenistka	NOUN	6	nsubj
10	Radka	PROPN	9	flat
11	Bobková	PROPN	9	flat
12	,	PUNCT	14	punct
13	která	DET	14	nsubj
14	měla	VERB	9	acl:relcl
15	po	ADP	17	case
16	newyorském	ADJ	17	amod
17	US	ADJ	14	obl
18	Open	ADJ	17	flat:foreign
19	v	ADP	20	case
20	plánu	NOUN	14	obl
21	právě	ADV	23	advmod:emph
22	karlovarskou	ADJ	23	amod
23	akci	NOUN	14	obj
24	.	PUNCT	4	punct