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:
Editorem Teiga je Jiří Brabec - jinak člen rady (podobně jako Zdeněk Rotrekl nebo třeba Vladimír Pistorius, šéfredaktor Mladé fronty, která získala dva granty).
Postion	Tokenization
1	Editorem
2	Teiga
3	je
4	Jiří
5	Brabec
6	-
7	jinak
8	člen
9	rady
10	(
11	podobně
12	jako
13	Zdeněk
14	Rotrekl
15	nebo
16	třeba
17	Vladimír
18	Pistorius
19	,
20	šéfredaktor
21	Mladé
22	fronty
23	,
24	která
25	získala
26	dva
27	granty
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Editorem	NOUN	0	root
2	Teiga	PROPN	1	nmod
3	je	AUX	1	cop
4	Jiří	PROPN	1	nsubj
5	Brabec	PROPN	4	flat
6	-	PUNCT	4	punct
7	jinak	ADV	4	dep
8	člen	NOUN	4	nmod
9	rady	NOUN	8	nmod
10	(	PUNCT	11	punct
11	podobně	ADV	1	advmod
12	jako	SCONJ	13	mark
13	Zdeněk	PROPN	11	dep
14	Rotrekl	PROPN	13	flat
15	nebo	CCONJ	17	cc
16	třeba	ADV	17	advmod:emph
17	Vladimír	PROPN	13	conj
18	Pistorius	PROPN	17	flat
19	,	PUNCT	20	punct
20	šéfredaktor	NOUN	17	nmod
21	Mladé	ADJ	22	amod
22	fronty	NOUN	20	nmod
23	,	PUNCT	25	punct
24	která	DET	25	nsubj
25	získala	VERB	22	acl:relcl
26	dva	NUM	27	nummod
27	granty	NOUN	25	obj
28	)	PUNCT	11	punct
29	.	PUNCT	1	punct