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:
V současnosti má společnost v pražském provozu i v jičínském závodě 450 zaměstnanců, z toho je 304 osob v dělnických profesích, 141 osoba v administrativě a pět pracovníků vedení.
Postion	Tokenization
1	V
2	současnosti
3	má
4	společnost
5	v
6	pražském
7	provozu
8	i
9	v
10	jičínském
11	závodě
12	450
13	zaměstnanců
14	,
15	z
16	toho
17	je
18	304
19	osob
20	v
21	dělnických
22	profesích
23	_
24	,
25	141
26	osoba
27	v
28	administrativě
29	a
30	pět
31	pracovníků
32	vedení
33	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	současnosti	NOUN	3	obl
3	má	VERB	0	root
4	společnost	NOUN	3	nsubj
5	v	ADP	7	case
6	pražském	ADJ	7	amod
7	provozu	NOUN	3	obl
8	i	CCONJ	11	cc
9	v	ADP	11	case
10	jičínském	ADJ	11	amod
11	závodě	NOUN	7	conj
12	450	NUM	13	nummod:gov
13	zaměstnanců	NOUN	3	obj
14	,	PUNCT	17	punct
15	z	ADP	16	case
16	toho	DET	17	obl
17	je	VERB	3	conj
18	304	NUM	19	nummod:gov
19	osob	NOUN	17	nsubj
20	v	ADP	22	case
21	dělnických	ADJ	22	amod
22	profesích	NOUN	17	obl
23	_	_	None	_
24	,	PUNCT	25	punct
25	141	NUM	25	nummod
26	osoba	NOUN	17	conj
27	v	ADP	27	case
28	administrativě	NOUN	25	orphan
29	a	CCONJ	25	cc
30	pět	NUM	30	nummod:gov
31	pracovníků	NOUN	25	orphan
32	vedení	NOUN	30	nmod
33	.	PUNCT	3	punct