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 ovšem, že bych víc než mecenáše potřeboval galerii, která by se o mou práci dokázala profesionálně starat, ale ani v tom případě bych nebyl zcela bez materiálních starostí.
Postion	Tokenization
1	Myslím
2	ovšem
3	,
4	že
5	bych
6	víc
7	než
8	mecenáše
9	potřeboval
10	galerii
11	,
12	která
13	by
14	se
15	o
16	mou
17	práci
18	dokázala
19	profesionálně
20	starat
21	,
22	ale
23	ani
24	v
25	tom
26	případě
27	bych
28	nebyl
29	zcela
30	bez
31	materiálních
32	starostí
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Myslím	VERB	0	root
2	ovšem	CCONJ	1	cc
3	,	PUNCT	9	punct
4	že	SCONJ	9	mark
5	bych	AUX	9	aux
6	víc	ADV	9	advmod
7	než	SCONJ	8	mark
8	mecenáše	NOUN	6	obl
9	potřeboval	VERB	1	ccomp
10	galerii	NOUN	9	obj
11	,	PUNCT	18	punct
12	která	DET	18	nsubj
13	by	AUX	18	aux
14	se	PRON	20	expl:pv
15	o	ADP	17	case
16	mou	DET	17	det
17	práci	NOUN	20	obl:arg
18	dokázala	VERB	10	acl:relcl
19	profesionálně	ADV	20	advmod
20	starat	VERB	18	xcomp
21	,	PUNCT	28	punct
22	ale	CCONJ	28	cc
23	ani	CCONJ	26	advmod:emph
24	v	ADP	26	case
25	tom	DET	26	det
26	případě	NOUN	28	obl
27	bych	AUX	28	aux
28	nebyl	VERB	9	conj
29	zcela	ADV	32	advmod
30	bez	ADP	32	case
31	materiálních	ADJ	32	amod
32	starostí	NOUN	28	obl
33	.	PUNCT	1	punct