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: V případě Lichtenbergu, čtvrti, jež zahrnuje sídlo bývalé tajné služby Stasi a kde bydlí řada lidí z někdejších východoněmeckých ministerstev, kteří se náhle octli v novém státě zcela nepotřební, to znamená více než patnáctiprocentní nezaměstnanost typickou pro nové spolkové země.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	případě	NOUN	1	fixed
3	Lichtenbergu	PROPN	35	obl
4	,	PUNCT	5	punct
5	čtvrti	NOUN	3	appos
6	,	PUNCT	8	punct
7	jež	PRON	8	nsubj
8	zahrnuje	VERB	5	acl:relcl
9	sídlo	NOUN	8	obj
10	bývalé	ADJ	12	amod
11	tajné	ADJ	12	amod
12	služby	NOUN	9	nmod
13	Stasi	PROPN	12	nmod
14	a	CCONJ	16	cc
15	kde	ADV	16	advmod
16	bydlí	VERB	8	conj
17	řada	NOUN	16	nsubj
18	lidí	NOUN	17	nmod
19	z	ADP	22	case
20	někdejších	ADJ	22	amod
21	východoněmeckých	ADJ	22	amod
22	ministerstev	NOUN	18	nmod
23	,	PUNCT	27	punct
24	kteří	DET	27	nsubj
25	se	PRON	27	expl:pv
26	náhle	ADV	27	advmod
27	octli	VERB	18	acl:relcl
28	v	ADP	30	case
29	novém	ADJ	30	amod
30	státě	NOUN	27	obl
31	zcela	ADV	32	advmod
32	nepotřební	ADJ	24	xcomp
33	,	PUNCT	8	punct
34	to	DET	35	nsubj
35	znamená	VERB	0	root
36	více	ADV	35	obj
37	než	SCONJ	39	mark
38	patnáctiprocentní	ADJ	39	amod
39	nezaměstnanost	NOUN	36	advcl
40	typickou	ADJ	39	amod
41	pro	ADP	44	case
42	nové	ADJ	44	amod
43	spolkové	ADJ	44	amod
44	země	NOUN	40	obl:arg
45	.	PUNCT	35	punct