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:
"Dobrá úroveň vztahů Bavorska vůči sousední zemi se i přes jeho negativní postoj k německo-československé smlouvě nemění," řekl bavorský ministr.
Postion	Tokenization
1	"
2	Dobrá
3	úroveň
4	vztahů
5	Bavorska
6	vůči
7	sousední
8	zemi
9	se
10	i
11	přes
12	jeho
13	negativní
14	postoj
15	k
16	německo
17	-
18	československé
19	smlouvě
20	nemění
21	,
22	"
23	řekl
24	bavorský
25	ministr
26	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	20	punct
2	Dobrá	ADJ	3	amod
3	úroveň	NOUN	20	nsubj
4	vztahů	NOUN	3	nmod
5	Bavorska	PROPN	4	nmod
6	vůči	ADP	8	case
7	sousední	ADJ	8	amod
8	zemi	NOUN	4	nmod
9	se	PRON	20	expl:pv
10	i	CCONJ	14	advmod:emph
11	přes	ADP	14	case
12	jeho	DET	14	det
13	negativní	ADJ	14	amod
14	postoj	NOUN	20	obl
15	k	ADP	19	case
16	německo	ADJ	19	amod
17	-	PUNCT	18	punct
18	československé	ADJ	16	conj
19	smlouvě	NOUN	14	nmod
20	nemění	VERB	23	ccomp
21	,	PUNCT	20	punct
22	"	PUNCT	20	punct
23	řekl	VERB	0	root
24	bavorský	ADJ	25	amod
25	ministr	NOUN	23	nsubj
26	.	PUNCT	23	punct