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:
Německo-českou péčí vznikla letos v létě v Jihlavě zajímavá muzejní expozice: objevně si všímá mládí skladatele a dirigenta Gustava Mahlera.
Postion	Tokenization
1	Německo
2	-
3	českou
4	péčí
5	vznikla
6	letos
7	v
8	létě
9	v
10	Jihlavě
11	zajímavá
12	muzejní
13	expozice
14	:
15	objevně
16	si
17	všímá
18	mládí
19	skladatele
20	a
21	dirigenta
22	Gustava
23	Mahlera
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Německo	ADJ	4	amod
2	-	PUNCT	3	punct
3	českou	ADJ	1	conj
4	péčí	NOUN	5	obl
5	vznikla	VERB	0	root
6	letos	ADV	5	advmod
7	v	ADP	8	case
8	létě	NOUN	6	obl
9	v	ADP	10	case
10	Jihlavě	PROPN	5	obl
11	zajímavá	ADJ	13	amod
12	muzejní	ADJ	13	amod
13	expozice	NOUN	5	nsubj
14	:	PUNCT	17	punct
15	objevně	ADV	17	advmod
16	si	PRON	17	expl:pv
17	všímá	VERB	5	conj
18	mládí	NOUN	17	obl:arg
19	skladatele	NOUN	22	nmod
20	a	CCONJ	21	cc
21	dirigenta	NOUN	19	conj
22	Gustava	PROPN	18	nmod
23	Mahlera	PROPN	22	flat
24	.	PUNCT	5	punct