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:
A tak i konzervativní list jako Frankfurter Allgemeine Zeitung zpochybňuje konkrétní dopad pozitivní zprávy ministra Schmidbauera a zařazuje ji spíše do kategorie publicity.
Postion	Tokenization
1	A
2	tak
3	i
4	konzervativní
5	list
6	jako
7	Frankfurter
8	Allgemeine
9	Zeitung
10	zpochybňuje
11	konkrétní
12	dopad
13	pozitivní
14	zprávy
15	ministra
16	Schmidbauera
17	a
18	zařazuje
19	ji
20	spíše
21	do
22	kategorie
23	publicity
24	.
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	10	cc
2	tak	ADV	10	cc
3	i	CCONJ	5	advmod:emph
4	konzervativní	ADJ	5	amod
5	list	NOUN	10	nsubj
6	jako	SCONJ	7	mark
7	Frankfurter	ADJ	5	appos
8	Allgemeine	ADJ	7	flat:foreign
9	Zeitung	PROPN	7	flat:foreign
10	zpochybňuje	VERB	0	root
11	konkrétní	ADJ	12	amod
12	dopad	NOUN	10	obj
13	pozitivní	ADJ	14	amod
14	zprávy	NOUN	12	nmod
15	ministra	NOUN	14	nmod
16	Schmidbauera	PROPN	15	flat
17	a	CCONJ	18	cc
18	zařazuje	VERB	10	conj
19	ji	PRON	18	obj
20	spíše	ADV	18	advmod
21	do	ADP	22	case
22	kategorie	NOUN	18	obl
23	publicity	NOUN	22	nmod
24	.	PUNCT	10	punct