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:
Před rokem byl v Jihlavě založen společný podnik Bosch Diesel, v němž najde práci 200 pracovníků, dalších 600 lidí bude zaměstnáno v Motorpalu při kooperační výrobě.
Postion	Tokenization
1	Před
2	rokem
3	byl
4	v
5	Jihlavě
6	založen
7	společný
8	podnik
9	Bosch
10	Diesel
11	,
12	v
13	němž
14	najde
15	práci
16	200
17	pracovníků
18	,
19	dalších
20	600
21	lidí
22	bude
23	zaměstnáno
24	v
25	Motorpalu
26	při
27	kooperační
28	výrobě
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Před	ADP	2	case
2	rokem	NOUN	6	obl
3	byl	AUX	6	aux:pass
4	v	ADP	5	case
5	Jihlavě	PROPN	6	obl
6	založen	ADJ	0	root
7	společný	ADJ	8	amod
8	podnik	NOUN	6	nsubj:pass
9	Bosch	PROPN	8	nmod
10	Diesel	NOUN	9	nmod
11	,	PUNCT	14	punct
12	v	ADP	13	case
13	němž	PRON	14	obl
14	najde	VERB	8	acl:relcl
15	práci	NOUN	14	obj
16	200	NUM	17	nummod:gov
17	pracovníků	NOUN	14	nsubj
18	,	PUNCT	23	punct
19	dalších	ADJ	20	amod
20	600	NUM	21	nummod:gov
21	lidí	NOUN	23	nsubj:pass
22	bude	AUX	23	aux:pass
23	zaměstnáno	ADJ	6	conj
24	v	ADP	25	case
25	Motorpalu	PROPN	23	obl
26	při	ADP	28	case
27	kooperační	ADJ	28	amod
28	výrobě	NOUN	23	obl
29	.	PUNCT	6	punct