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:
Příklad: vysoké školství a věda s přetrvávající vnitřní i vnější emigrací mozků, oddělené resortně i legislativně, nemohou žít v efektivní symbióze bez systémových změn.
Postion	Tokenization
1	Příklad
2	:
3	vysoké
4	školství
5	a
6	věda
7	s
8	přetrvávající
9	vnitřní
10	i
11	vnější
12	emigrací
13	mozků
14	,
15	oddělené
16	resortně
17	i
18	legislativně
19	,
20	nemohou
21	žít
22	v
23	efektivní
24	symbióze
25	bez
26	systémových
27	změn
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Příklad	NOUN	0	root
2	:	PUNCT	20	punct
3	vysoké	ADJ	4	amod
4	školství	NOUN	20	nsubj
5	a	CCONJ	6	cc
6	věda	NOUN	4	conj
7	s	ADP	12	case
8	přetrvávající	ADJ	12	amod
9	vnitřní	ADJ	12	amod
10	i	CCONJ	11	cc
11	vnější	ADJ	9	conj
12	emigrací	NOUN	6	nmod
13	mozků	NOUN	12	nmod
14	,	PUNCT	15	punct
15	oddělené	ADJ	4	amod
16	resortně	ADV	15	advmod
17	i	CCONJ	18	cc
18	legislativně	ADV	16	conj
19	,	PUNCT	15	punct
20	nemohou	VERB	1	appos
21	žít	VERB	20	xcomp
22	v	ADP	24	case
23	efektivní	ADJ	24	amod
24	symbióze	NOUN	21	obl
25	bez	ADP	27	case
26	systémových	ADJ	27	amod
27	změn	NOUN	21	obl
28	.	PUNCT	1	punct