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:
*** V Mnichově jsou muzea a galerie se vzácnými obrazy, částečně (podle času) jsem je navštívil a zhlédl překrásný královský zámek Nymphenburg.
Postion	Tokenization
1	*
2	*
3	*
4	V
5	Mnichově
6	jsou
7	muzea
8	a
9	galerie
10	se
11	vzácnými
12	obrazy
13	,
14	částečně
15	(
16	podle
17	času
18	)
19	jsem
20	je
21	navštívil
22	a
23	zhlédl
24	překrásný
25	královský
26	zámek
27	Nymphenburg
28	.
Position	Tokenization	UPOS	Head	Deprel
1	*	PUNCT	6	punct
2	*	PUNCT	6	punct
3	*	PUNCT	6	punct
4	V	ADP	5	case
5	Mnichově	PROPN	6	obl
6	jsou	VERB	0	root
7	muzea	NOUN	6	nsubj
8	a	CCONJ	9	cc
9	galerie	NOUN	7	conj
10	se	ADP	12	case
11	vzácnými	ADJ	12	amod
12	obrazy	NOUN	7	nmod
13	,	PUNCT	21	punct
14	částečně	ADV	21	advmod
15	(	PUNCT	17	punct
16	podle	ADP	17	case
17	času	NOUN	21	obl
18	)	PUNCT	17	punct
19	jsem	AUX	21	aux
20	je	PRON	21	obj
21	navštívil	VERB	6	conj
22	a	CCONJ	23	cc
23	zhlédl	VERB	6	conj
24	překrásný	ADJ	26	amod
25	královský	ADJ	26	amod
26	zámek	NOUN	23	obj
27	Nymphenburg	PROPN	26	nmod
28	.	PUNCT	6	punct