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:
Na výstavě Mateřské školky: Moderní architektura z Frankfurtu nad Mohanem v Národním technickém muzeu v Praze si však nejvíce přijdou na své ti posledně jmenovaní.
Postion	Tokenization
1	Na
2	výstavě
3	Mateřské
4	školky
5	:
6	Moderní
7	architektura
8	z
9	Frankfurtu
10	nad
11	Mohanem
12	v
13	Národním
14	technickém
15	muzeu
16	v
17	Praze
18	si
19	však
20	nejvíce
21	přijdou
22	na
23	své
24	ti
25	posledně
26	jmenovaní
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	výstavě	NOUN	21	obl
3	Mateřské	ADJ	4	amod
4	školky	NOUN	2	nmod
5	:	PUNCT	7	punct
6	Moderní	ADJ	7	amod
7	architektura	NOUN	4	appos
8	z	ADP	9	case
9	Frankfurtu	PROPN	7	nmod
10	nad	ADP	11	case
11	Mohanem	PROPN	9	nmod
12	v	ADP	15	case
13	Národním	ADJ	15	amod
14	technickém	ADJ	15	amod
15	muzeu	NOUN	2	nmod
16	v	ADP	17	case
17	Praze	PROPN	15	nmod
18	si	PRON	21	expl:pv
19	však	CCONJ	21	cc
20	nejvíce	ADV	21	advmod
21	přijdou	VERB	0	root
22	na	ADP	23	case
23	své	DET	21	obl:arg
24	ti	DET	21	nsubj
25	posledně	ADV	26	advmod
26	jmenovaní	ADJ	24	amod
27	.	PUNCT	21	punct