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:
Všeobecná intelektuální lenost je typická i na Hudební fakultě AMU, navíc zaměstnanost studentů přesahuje únosnou míru na úkor studia a zpochybňuje celkovou funkci školy.
Postion	Tokenization
1	Všeobecná
2	intelektuální
3	lenost
4	je
5	typická
6	i
7	na
8	Hudební
9	fakultě
10	AMU
11	,
12	navíc
13	zaměstnanost
14	studentů
15	přesahuje
16	únosnou
17	míru
18	na
19	úkor
20	studia
21	a
22	zpochybňuje
23	celkovou
24	funkci
25	školy
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Všeobecná	ADJ	3	amod
2	intelektuální	ADJ	3	amod
3	lenost	NOUN	5	nsubj
4	je	AUX	5	cop
5	typická	ADJ	0	root
6	i	CCONJ	9	advmod:emph
7	na	ADP	9	case
8	Hudební	ADJ	9	amod
9	fakultě	NOUN	5	obl
10	AMU	PROPN	9	nmod
11	,	PUNCT	15	punct
12	navíc	ADV	15	advmod
13	zaměstnanost	NOUN	15	nsubj
14	studentů	NOUN	13	nmod
15	přesahuje	VERB	5	conj
16	únosnou	ADJ	17	amod
17	míru	NOUN	15	obj
18	na	ADP	20	case
19	úkor	NOUN	18	fixed
20	studia	NOUN	15	obl
21	a	CCONJ	22	cc
22	zpochybňuje	VERB	15	conj
23	celkovou	ADJ	24	amod
24	funkci	NOUN	22	obj
25	školy	NOUN	24	nmod
26	.	PUNCT	5	punct