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:
Prý se zabarikádovali za formulí "Žádné zvýšení platů bez snížení nákladů" a nepředkládají žádné konkrétní návrhy, vyčítá jim bavorská ministryně práce Barbara Stammová (CSU).
Postion	Tokenization
1	Prý
2	se
3	zabarikádovali
4	za
5	formulí
6	"
7	Žádné
8	zvýšení
9	platů
10	bez
11	snížení
12	nákladů
13	"
14	a
15	nepředkládají
16	žádné
17	konkrétní
18	návrhy
19	,
20	vyčítá
21	jim
22	bavorská
23	ministryně
24	práce
25	Barbara
26	Stammová
27	(
28	CSU
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Prý	PART	3	advmod
2	se	PRON	3	obj
3	zabarikádovali	VERB	20	ccomp
4	za	ADP	5	case
5	formulí	NOUN	3	obl
6	"	PUNCT	8	punct
7	Žádné	DET	8	det
8	zvýšení	NOUN	5	nmod
9	platů	NOUN	8	nmod
10	bez	ADP	11	case
11	snížení	NOUN	8	nmod
12	nákladů	NOUN	11	nmod
13	"	PUNCT	8	punct
14	a	CCONJ	15	cc
15	nepředkládají	VERB	3	conj
16	žádné	DET	18	det
17	konkrétní	ADJ	18	amod
18	návrhy	NOUN	15	obj
19	,	PUNCT	3	punct
20	vyčítá	VERB	0	root
21	jim	PRON	20	obl:arg
22	bavorská	ADJ	23	amod
23	ministryně	NOUN	20	nsubj
24	práce	NOUN	23	nmod
25	Barbara	PROPN	23	flat
26	Stammová	PROPN	23	flat
27	(	PUNCT	28	punct
28	CSU	PROPN	23	flat
29	)	PUNCT	28	punct
30	.	PUNCT	20	punct