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 text: Herec se stal také ztišeným a opatrným komorníkem v Královské návštěvě Dorothy Sayersové i galantním lordem se slabostí pro ženy a pro Paříž, jak to dokazuje naplno žitý šanson z inscenace Wildeova Strašidla cantervillského.
Position	Tokenization	UPOS	Head	Deprel
1	Herec	NOUN	3	nsubj
2	se	PRON	3	expl:pv
3	stal	VERB	0	root
4	také	ADV	8	advmod:emph
5	ztišeným	ADJ	8	amod
6	a	CCONJ	7	cc
7	opatrným	ADJ	5	conj
8	komorníkem	NOUN	3	obl:arg
9	v	ADP	11	case
10	Královské	ADJ	11	amod
11	návštěvě	NOUN	3	obl
12	Dorothy	PROPN	11	nmod
13	Sayersové	PROPN	12	flat
14	_	_	None	_
15	i	CCONJ	16	cc
16	galantním	ADJ	16	amod
17	lordem	NOUN	3	conj
18	se	ADP	18	case
19	slabostí	NOUN	16	nmod
20	pro	ADP	20	case
21	ženy	NOUN	18	nmod
22	a	CCONJ	23	cc
23	pro	ADP	23	case
24	Paříž	PROPN	20	conj
25	,	PUNCT	27	punct
26	jak	ADV	27	advmod
27	to	DET	27	obj
28	dokazuje	VERB	16	orphan
29	naplno	ADV	29	advmod
30	žitý	ADJ	30	amod
31	šanson	NOUN	27	nsubj
32	z	ADP	32	case
33	inscenace	NOUN	30	nmod
34	Wildeova	ADJ	34	amod
35	Strašidla	NOUN	32	nmod
36	cantervillského	ADJ	34	amod
37	.	PUNCT	3	punct