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:
Po návratu do Evropy se letos Pražský komorní sbor představí rovněž obecenstvu ve vídeňském Musikereinu, v Ludwigsburgu, Bamberku, Mnichově, Lucemburku, Štrasburku a Dijonu.
Postion	Tokenization
1	Po
2	návratu
3	do
4	Evropy
5	se
6	letos
7	Pražský
8	komorní
9	sbor
10	představí
11	rovněž
12	obecenstvu
13	ve
14	vídeňském
15	Musikereinu
16	,
17	v
18	Ludwigsburgu
19	,
20	Bamberku
21	,
22	Mnichově
23	,
24	Lucemburku
25	,
26	Štrasburku
27	a
28	Dijonu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	návratu	NOUN	10	obl
3	do	ADP	4	case
4	Evropy	PROPN	2	nmod
5	se	PRON	10	obj
6	letos	ADV	10	advmod
7	Pražský	ADJ	9	amod
8	komorní	ADJ	9	amod
9	sbor	NOUN	10	nsubj
10	představí	VERB	0	root
11	rovněž	ADV	10	advmod
12	obecenstvu	NOUN	10	obl:arg
13	ve	ADP	15	case
14	vídeňském	ADJ	15	amod
15	Musikereinu	PROPN	12	nmod
16	,	PUNCT	18	punct
17	v	ADP	18	case
18	Ludwigsburgu	PROPN	15	conj
19	,	PUNCT	20	punct
20	Bamberku	PROPN	18	conj
21	,	PUNCT	22	punct
22	Mnichově	PROPN	18	conj
23	,	PUNCT	24	punct
24	Lucemburku	PROPN	18	conj
25	,	PUNCT	26	punct
26	Štrasburku	PROPN	18	conj
27	a	CCONJ	28	cc
28	Dijonu	PROPN	18	conj
29	.	PUNCT	10	punct