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: Marcel Marongiv dovoluje nosit kalhoty, ovšem s podmínkou, že budou nízkým pasem odhalovat půvab kalhotek, a Vivienne Westwood "oblékla" svou nevěstu do pouhých několika řetízků, které nazvala kalhotkami...
Position	Tokenization	UPOS	Head	Deprel
1	Marcel	PROPN	3	nsubj
2	Marongiv	PROPN	1	flat
3	dovoluje	VERB	23	parataxis
4	nosit	VERB	3	xcomp
5	kalhoty	NOUN	4	obj
6	,	PUNCT	9	punct
7	ovšem	CCONJ	9	cc
8	s	ADP	9	case
9	podmínkou	NOUN	3	conj
10	,	PUNCT	15	punct
11	že	SCONJ	15	mark
12	budou	AUX	15	aux
13	nízkým	ADJ	14	amod
14	pasem	NOUN	15	obl
15	odhalovat	VERB	9	acl
16	půvab	NOUN	15	obj
17	kalhotek	NOUN	16	nmod
18	,	PUNCT	23	punct
19	a	CCONJ	23	cc
20	Vivienne	PROPN	23	nsubj
21	Westwood	PROPN	20	flat
22	"	PUNCT	23	punct
23	oblékla	VERB	0	root
24	"	PUNCT	23	punct
25	svou	DET	26	det
26	nevěstu	NOUN	23	obj
27	do	ADP	30	case
28	pouhých	ADJ	30	amod
29	několika	DET	30	det:nummod
30	řetízků	NOUN	23	obl
31	,	PUNCT	33	punct
32	které	DET	33	obj
33	nazvala	VERB	30	acl:relcl
34	kalhotkami	NOUN	33	obl
35	.	PUNCT	23	punct
36	.	PUNCT	23	punct
37	.	PUNCT	23	punct