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: Jedná se o 50 lidí v závodě Ostrov na Karlovarsku, 600 v závodě Výstavba a údržba, 100 až 400 v Energetickém závodě, 400 v závodě Obráběcí stroje a kromě dalších i 600 lidí v závodě Elektrické lokomotivy.
Position	Tokenization	UPOS	Head	Deprel
1	Jedná	VERB	0	root
2	se	PRON	1	expl:pv
3	o	ADP	5	case
4	50	NUM	5	nummod:gov
5	lidí	NOUN	1	obj
6	v	ADP	7	case
7	závodě	NOUN	4	nmod
8	Ostrov	PROPN	7	nmod
9	na	ADP	10	case
10	Karlovarsku	PROPN	8	nmod
11	,	PUNCT	12	punct
12	600	NUM	5	conj
13	v	ADP	14	case
14	závodě	NOUN	12	nmod
15	Výstavba	NOUN	14	nmod
16	a	CCONJ	17	cc
17	údržba	NOUN	15	conj
18	,	PUNCT	19	punct
19	100	NUM	5	conj
20	až	CCONJ	21	cc
21	400	NUM	19	conj
22	v	ADP	24	case
23	Energetickém	ADJ	24	amod
24	závodě	NOUN	19	nmod
25	,	PUNCT	26	punct
26	400	NUM	5	conj
27	v	ADP	28	case
28	závodě	NOUN	26	nmod
29	Obráběcí	ADJ	30	amod
30	stroje	NOUN	28	nmod
31	a	CCONJ	36	cc
32	kromě	ADP	33	case
33	dalších	ADJ	35	dep
34	i	CCONJ	35	advmod:emph
35	600	NUM	36	nummod:gov
36	lidí	NOUN	5	conj
37	v	ADP	38	case
38	závodě	NOUN	35	nmod
39	Elektrické	ADJ	40	amod
40	lokomotivy	NOUN	38	nmod
41	.	PUNCT	1	punct