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:
Pavel Mates, působící na Právnické fakultě Masarykovy univerzity v Brně, byl jedním ze třinácti soudců, s jejichž jmenováním do funkce vyslovila minulý týden souhlas sněmovna parlamentu.
Postion	Tokenization
1	Pavel
2	Mates
3	,
4	působící
5	na
6	Právnické
7	fakultě
8	Masarykovy
9	univerzity
10	v
11	Brně
12	,
13	byl
14	jedním
15	ze
16	třinácti
17	soudců
18	,
19	s
20	jejichž
21	jmenováním
22	do
23	funkce
24	vyslovila
25	minulý
26	týden
27	souhlas
28	sněmovna
29	parlamentu
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Pavel	PROPN	14	nsubj
2	Mates	PROPN	1	flat
3	,	PUNCT	4	punct
4	působící	ADJ	1	amod
5	na	ADP	7	case
6	Právnické	ADJ	7	amod
7	fakultě	NOUN	4	obl
8	Masarykovy	ADJ	9	amod
9	univerzity	NOUN	7	nmod
10	v	ADP	11	case
11	Brně	PROPN	9	nmod
12	,	PUNCT	4	punct
13	byl	AUX	14	cop
14	jedním	NUM	0	root
15	ze	ADP	17	case
16	třinácti	NUM	17	nummod
17	soudců	NOUN	14	nmod
18	,	PUNCT	24	punct
19	s	ADP	21	case
20	jejichž	DET	21	det
21	jmenováním	NOUN	27	nmod
22	do	ADP	23	case
23	funkce	NOUN	21	nmod
24	vyslovila	VERB	17	acl:relcl
25	minulý	ADJ	26	amod
26	týden	NOUN	24	obl
27	souhlas	NOUN	24	obj
28	sněmovna	NOUN	24	nsubj
29	parlamentu	NOUN	28	nmod
30	.	PUNCT	14	punct