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:
Koncem prvního letošního pololetí bylo na území bývalého západního Německa o 417000 nezaměstnaných více než na konci roku 1993, což znamenalo nárůst o 18.9 procenta.
Postion	Tokenization
1	Koncem
2	prvního
3	letošního
4	pololetí
5	bylo
6	na
7	území
8	bývalého
9	západního
10	Německa
11	o
12	417000
13	nezaměstnaných
14	více
15	než
16	na
17	konci
18	roku
19	1993
20	,
21	což
22	znamenalo
23	nárůst
24	o
25	18.9
26	procenta
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Koncem	NOUN	4	case
2	prvního	ADJ	4	amod
3	letošního	ADJ	4	amod
4	pololetí	NOUN	5	obl
5	bylo	VERB	0	root
6	na	ADP	7	case
7	území	NOUN	5	obl
8	bývalého	ADJ	10	amod
9	západního	ADJ	10	amod
10	Německa	PROPN	7	nmod
11	o	ADP	13	case
12	417000	NUM	13	nummod:gov
13	nezaměstnaných	NOUN	14	obl
14	více	ADV	5	nsubj
15	než	SCONJ	17	mark
16	na	ADP	17	case
17	konci	NOUN	14	dep
18	roku	NOUN	17	nmod
19	1993	NUM	18	nummod
20	,	PUNCT	22	punct
21	což	PRON	22	nsubj
22	znamenalo	VERB	5	conj
23	nárůst	NOUN	22	obj
24	o	ADP	26	case
25	18.9	NUM	26	nummod:gov
26	procenta	NOUN	23	nmod
27	.	PUNCT	5	punct