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:
Letmý průzkum na třech fakultách MU v Brně, kde již lhůta pro podávání přihlášek skončila, naznačuje, že mladí lidé se školného nebojí.
Postion	Tokenization
1	Letmý
2	průzkum
3	na
4	třech
5	fakultách
6	MU
7	v
8	Brně
9	,
10	kde
11	již
12	lhůta
13	pro
14	podávání
15	přihlášek
16	skončila
17	,
18	naznačuje
19	,
20	že
21	mladí
22	lidé
23	se
24	školného
25	nebojí
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Letmý	ADJ	2	amod
2	průzkum	NOUN	18	nsubj
3	na	ADP	5	case
4	třech	NUM	5	nummod
5	fakultách	NOUN	2	nmod
6	MU	PROPN	5	nmod
7	v	ADP	8	case
8	Brně	PROPN	5	nmod
9	,	PUNCT	16	punct
10	kde	ADV	16	advmod
11	již	ADV	16	advmod
12	lhůta	NOUN	16	nsubj
13	pro	ADP	14	case
14	podávání	NOUN	12	nmod
15	přihlášek	NOUN	14	nmod
16	skončila	VERB	5	acl:relcl
17	,	PUNCT	16	punct
18	naznačuje	VERB	0	root
19	,	PUNCT	25	punct
20	že	SCONJ	25	mark
21	mladí	ADJ	22	amod
22	lidé	NOUN	25	nsubj
23	se	PRON	25	expl:pv
24	školného	NOUN	25	obl:arg
25	nebojí	VERB	18	ccomp
26	.	PUNCT	18	punct