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:
Její honosnost je ale zastíněna chaosem, takže více než lázeňskou promenádu připomíná pražský Václavák: jakýsi pán si klidně myje ruce v léčivém pramenu.
Postion	Tokenization
1	Její
2	honosnost
3	je
4	ale
5	zastíněna
6	chaosem
7	,
8	takže
9	více
10	než
11	lázeňskou
12	promenádu
13	připomíná
14	pražský
15	Václavák
16	:
17	jakýsi
18	pán
19	si
20	klidně
21	myje
22	ruce
23	v
24	léčivém
25	pramenu
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Její	DET	2	det
2	honosnost	NOUN	5	nsubj
3	je	AUX	5	cop
4	ale	CCONJ	5	cc
5	zastíněna	ADJ	0	root
6	chaosem	NOUN	5	obl:arg
7	,	PUNCT	13	punct
8	takže	SCONJ	13	mark
9	více	ADV	13	advmod
10	než	SCONJ	12	mark
11	lázeňskou	ADJ	12	amod
12	promenádu	NOUN	9	advcl
13	připomíná	VERB	5	advcl
14	pražský	ADJ	15	amod
15	Václavák	PROPN	13	obj
16	:	PUNCT	21	punct
17	jakýsi	DET	18	det
18	pán	NOUN	21	nsubj
19	si	PRON	21	obl
20	klidně	ADV	21	advmod
21	myje	VERB	5	conj
22	ruce	NOUN	21	obj
23	v	ADP	25	case
24	léčivém	ADJ	25	amod
25	pramenu	NOUN	21	obl
26	.	PUNCT	5	punct