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:
Nepřijatelný název V příspěvku Pavla Kaliny (MF DNES 18. 9.) je navrhován název pro nově vznikající státní útvar Čech, Moravy a Slezska jako Středoevropská republika.
Postion	Tokenization
1	Nepřijatelný
2	název
3	V
4	příspěvku
5	Pavla
6	Kaliny
7	(
8	MF
9	DNES
10	18
11	.
12	9
13	.
14	)
15	je
16	navrhován
17	název
18	pro
19	nově
20	vznikající
21	státní
22	útvar
23	Čech
24	,
25	Moravy
26	a
27	Slezska
28	jako
29	Středoevropská
30	republika
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Nepřijatelný	ADJ	2	amod
2	název	NOUN	0	root
3	V	ADP	4	case
4	příspěvku	NOUN	16	obl
5	Pavla	PROPN	4	nmod
6	Kaliny	PROPN	5	flat
7	(	PUNCT	4	punct
8	MF	PROPN	4	dep
9	DNES	ADV	8	advmod
10	18	NUM	12	compound
11	.	PUNCT	10	punct
12	9	NUM	4	dep
13	.	PUNCT	12	punct
14	)	PUNCT	4	punct
15	je	AUX	16	aux:pass
16	navrhován	ADJ	2	parataxis
17	název	NOUN	16	nsubj:pass
18	pro	ADP	22	case
19	nově	ADV	20	advmod
20	vznikající	ADJ	22	amod
21	státní	ADJ	22	amod
22	útvar	NOUN	17	nmod
23	Čech	PROPN	22	nmod
24	,	PUNCT	25	punct
25	Moravy	PROPN	23	conj
26	a	CCONJ	27	cc
27	Slezska	PROPN	23	conj
28	jako	SCONJ	30	mark
29	Středoevropská	ADJ	30	amod
30	republika	NOUN	17	xcomp
31	.	PUNCT	2	punct