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:
Julia Bollesová a dnes velmi ceněný Peter Wilson si pro volně tvarované tělo své školky vybrali pozdní Le Corbusierův styl z údobí kaple v Ronchamp.
Postion	Tokenization
1	Julia
2	Bollesová
3	a
4	dnes
5	velmi
6	ceněný
7	Peter
8	Wilson
9	si
10	pro
11	volně
12	tvarované
13	tělo
14	své
15	školky
16	vybrali
17	pozdní
18	Le
19	Corbusierův
20	styl
21	z
22	údobí
23	kaple
24	v
25	Ronchamp
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Julia	PROPN	16	nsubj
2	Bollesová	PROPN	1	flat
3	a	CCONJ	7	cc
4	dnes	ADV	6	advmod
5	velmi	ADV	6	advmod
6	ceněný	ADJ	7	amod
7	Peter	PROPN	1	conj
8	Wilson	PROPN	7	flat
9	si	PRON	16	obl
10	pro	ADP	13	case
11	volně	ADV	12	advmod
12	tvarované	ADJ	13	amod
13	tělo	NOUN	16	obl
14	své	DET	15	det
15	školky	NOUN	13	nmod
16	vybrali	VERB	0	root
17	pozdní	ADJ	20	amod
18	Le	ADJ	19	amod
19	Corbusierův	ADJ	20	amod
20	styl	NOUN	16	obj
21	z	ADP	22	case
22	údobí	NOUN	20	nmod
23	kaple	NOUN	22	nmod
24	v	ADP	25	case
25	Ronchamp	PROPN	23	nmod
26	.	PUNCT	16	punct