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:
Na konci minulého roku, kdy automobilka Škoda Mladá Boleslav zahajovala výrobu Felicie, neměla DIPRA dostatek zakázek pro dílnu s třiceti pracovníky, kde se vyráběly kabely do škodovek.
Postion	Tokenization
1	Na
2	konci
3	minulého
4	roku
5	,
6	kdy
7	automobilka
8	Škoda
9	Mladá
10	Boleslav
11	zahajovala
12	výrobu
13	Felicie
14	,
15	neměla
16	DIPRA
17	dostatek
18	zakázek
19	pro
20	dílnu
21	s
22	třiceti
23	pracovníky
24	,
25	kde
26	se
27	vyráběly
28	kabely
29	do
30	škodovek
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	konci	NOUN	15	obl
3	minulého	ADJ	4	amod
4	roku	NOUN	2	nmod
5	,	PUNCT	11	punct
6	kdy	ADV	11	advmod
7	automobilka	NOUN	11	nsubj
8	Škoda	PROPN	7	nmod
9	Mladá	ADJ	10	amod
10	Boleslav	PROPN	8	nmod
11	zahajovala	VERB	4	acl:relcl
12	výrobu	NOUN	11	obj
13	Felicie	PROPN	12	nmod
14	,	PUNCT	11	punct
15	neměla	VERB	0	root
16	DIPRA	PROPN	15	nsubj
17	dostatek	NOUN	15	obj
18	zakázek	NOUN	17	nmod
19	pro	ADP	20	case
20	dílnu	NOUN	18	nmod
21	s	ADP	23	case
22	třiceti	NUM	23	nummod
23	pracovníky	NOUN	20	nmod
24	,	PUNCT	27	punct
25	kde	ADV	27	advmod
26	se	PRON	27	expl:pass
27	vyráběly	VERB	20	acl:relcl
28	kabely	NOUN	27	nsubj:pass
29	do	ADP	30	case
30	škodovek	NOUN	28	nmod
31	.	PUNCT	15	punct