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 text: U akademických senátů se mění poměr zastoupení pedagogů a studentů, podíl studentů se snižuje na nejvýše 1/ 3 počtu, jak to odpovídá zvyklostem v jiných zemích i zkušenostem z fungování senátu v posledních letech u nás.
Position	Tokenization	UPOS	Head	Deprel
1	U	ADP	3	case
2	akademických	ADJ	3	amod
3	senátů	NOUN	5	obl
4	se	PRON	5	expl:pass
5	mění	VERB	0	root
6	poměr	NOUN	5	nsubj:pass
7	zastoupení	NOUN	6	nmod
8	pedagogů	NOUN	7	nmod
9	a	CCONJ	10	cc
10	studentů	NOUN	8	conj
11	,	PUNCT	15	punct
12	podíl	NOUN	15	nsubj:pass
13	studentů	NOUN	12	nmod
14	se	PRON	15	expl:pass
15	snižuje	VERB	5	conj
16	na	ADP	21	case
17	nejvýše	ADV	20	advmod
18	1	NUM	20	compound
19	/	PUNCT	18	punct
20	3	NUM	21	nummod:gov
21	počtu	NOUN	15	obl:arg
22	,	PUNCT	25	punct
23	jak	SCONJ	25	mark
24	to	DET	25	nsubj
25	odpovídá	VERB	15	advcl
26	zvyklostem	NOUN	25	obl:arg
27	v	ADP	29	case
28	jiných	ADJ	29	amod
29	zemích	NOUN	26	nmod
30	i	CCONJ	31	cc
31	zkušenostem	NOUN	26	conj
32	z	ADP	33	case
33	fungování	NOUN	31	nmod
34	senátu	NOUN	33	nmod
35	v	ADP	37	case
36	posledních	ADJ	37	amod
37	letech	NOUN	34	nmod
38	u	ADP	39	case
39	nás	PRON	33	nmod
40	.	PUNCT	5	punct