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:
Mně je naopak známo, že na většině pracovišť jsou v těchto komisích jen lidé, kteří sami pokusy provádějí a jsou profesně a tedy i existenčně s pokusným pracovištěm spjati.
Postion	Tokenization
1	Mně
2	je
3	naopak
4	známo
5	,
6	že
7	na
8	většině
9	pracovišť
10	jsou
11	v
12	těchto
13	komisích
14	jen
15	lidé
16	,
17	kteří
18	sami
19	pokusy
20	provádějí
21	a
22	jsou
23	profesně
24	a
25	tedy
26	i
27	existenčně
28	s
29	pokusným
30	pracovištěm
31	spjati
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Mně	PRON	4	obl:arg
2	je	AUX	4	cop
3	naopak	ADV	4	advmod
4	známo	ADJ	0	root
5	,	PUNCT	10	punct
6	že	SCONJ	10	mark
7	na	ADP	8	case
8	většině	NOUN	10	obl
9	pracovišť	NOUN	8	nmod
10	jsou	VERB	4	csubj
11	v	ADP	13	case
12	těchto	DET	13	det
13	komisích	NOUN	10	obl
14	jen	PART	15	advmod:emph
15	lidé	NOUN	10	nsubj
16	,	PUNCT	20	punct
17	kteří	DET	20	nsubj
18	sami	DET	17	xcomp
19	pokusy	NOUN	20	obj
20	provádějí	VERB	15	acl:relcl
21	a	CCONJ	31	cc
22	jsou	AUX	31	cop
23	profesně	ADV	31	advmod
24	a	CCONJ	27	cc
25	tedy	ADV	27	cc
26	i	CCONJ	27	advmod:emph
27	existenčně	ADV	23	conj
28	s	ADP	30	case
29	pokusným	ADJ	30	amod
30	pracovištěm	NOUN	31	obl:arg
31	spjati	ADJ	20	conj
32	.	PUNCT	4	punct