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:
Tato již starší distingovaná dáma ovšem bez jakýchkoli dvojsmyslných záměrů líčila, že z její vilky vede nejkratší cesta ke stanici autobusu nedlážděnou šoustkou mezi zahradami.
Postion	Tokenization
1	Tato
2	již
3	starší
4	distingovaná
5	dáma
6	ovšem
7	bez
8	jakýchkoli
9	dvojsmyslných
10	záměrů
11	líčila
12	,
13	že
14	z
15	její
16	vilky
17	vede
18	nejkratší
19	cesta
20	ke
21	stanici
22	autobusu
23	nedlážděnou
24	šoustkou
25	mezi
26	zahradami
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Tato	DET	5	det
2	již	ADV	3	advmod
3	starší	ADJ	5	amod
4	distingovaná	ADJ	5	amod
5	dáma	NOUN	11	nsubj
6	ovšem	CCONJ	11	cc
7	bez	ADP	10	case
8	jakýchkoli	DET	10	det
9	dvojsmyslných	ADJ	10	amod
10	záměrů	NOUN	11	obl
11	líčila	VERB	0	root
12	,	PUNCT	17	punct
13	že	SCONJ	17	mark
14	z	ADP	16	case
15	její	DET	16	det
16	vilky	NOUN	17	obl
17	vede	VERB	11	ccomp
18	nejkratší	ADJ	19	amod
19	cesta	NOUN	17	nsubj
20	ke	ADP	21	case
21	stanici	NOUN	19	nmod
22	autobusu	NOUN	21	nmod
23	nedlážděnou	ADJ	24	amod
24	šoustkou	NOUN	17	obl
25	mezi	ADP	26	case
26	zahradami	NOUN	24	nmod
27	.	PUNCT	11	punct