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:
Česká exilová režisérka Hannah Kodicek neboli Hana Kodíčková (1947) se vrací do Prahy jako autorka česko-britského koprodukčního filmu Špendlík na motýla.
Postion	Tokenization
1	Česká
2	exilová
3	režisérka
4	Hannah
5	Kodicek
6	neboli
7	Hana
8	Kodíčková
9	(
10	1947
11	)
12	se
13	vrací
14	do
15	Prahy
16	jako
17	autorka
18	česko
19	-
20	britského
21	koprodukčního
22	filmu
23	Špendlík
24	na
25	motýla
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Česká	ADJ	3	amod
2	exilová	ADJ	3	amod
3	režisérka	NOUN	4	nmod
4	Hannah	PROPN	13	nsubj
5	Kodicek	PROPN	4	flat
6	neboli	CCONJ	7	cc
7	Hana	PROPN	4	flat
8	Kodíčková	PROPN	7	flat
9	(	PUNCT	7	punct
10	1947	NUM	7	dep
11	)	PUNCT	7	punct
12	se	PRON	13	expl:pv
13	vrací	VERB	0	root
14	do	ADP	15	case
15	Prahy	PROPN	13	obl
16	jako	SCONJ	17	mark
17	autorka	NOUN	4	xcomp
18	česko	ADJ	22	amod
19	-	PUNCT	20	punct
20	britského	ADJ	18	conj
21	koprodukčního	ADJ	22	amod
22	filmu	NOUN	17	nmod
23	Špendlík	NOUN	22	nmod
24	na	ADP	25	case
25	motýla	NOUN	23	nmod
26	.	PUNCT	13	punct