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:
"Myslím, že nicméně do filmu vnesli autenticitu, o kterou se jejich angličtí kolegové - ať byli jakkoliv dobří - mohli opřít," dodává režisérka.
Postion	Tokenization
1	"
2	Myslím
3	,
4	že
5	nicméně
6	do
7	filmu
8	vnesli
9	autenticitu
10	,
11	o
12	kterou
13	se
14	jejich
15	angličtí
16	kolegové
17	-
18	ať
19	byli
20	jakkoliv
21	dobří
22	-
23	mohli
24	opřít
25	,
26	"
27	dodává
28	režisérka
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Myslím	VERB	27	ccomp
3	,	PUNCT	8	punct
4	že	SCONJ	8	mark
5	nicméně	CCONJ	8	cc
6	do	ADP	7	case
7	filmu	NOUN	8	obl
8	vnesli	VERB	2	ccomp
9	autenticitu	NOUN	8	obj
10	,	PUNCT	23	punct
11	o	ADP	12	case
12	kterou	DET	24	obl:arg
13	se	PRON	24	expl:pv
14	jejich	DET	16	det
15	angličtí	ADJ	16	amod
16	kolegové	NOUN	23	nsubj
17	-	PUNCT	21	punct
18	ať	SCONJ	21	mark
19	byli	AUX	21	cop
20	jakkoliv	ADV	21	advmod
21	dobří	ADJ	16	acl
22	-	PUNCT	21	punct
23	mohli	VERB	9	acl:relcl
24	opřít	VERB	23	xcomp
25	,	PUNCT	2	punct
26	"	PUNCT	2	punct
27	dodává	VERB	0	root
28	režisérka	NOUN	27	nsubj
29	.	PUNCT	27	punct