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:
S čím se však ještě nevyrovnal, je fakt, že jako Východoberlíňan vydělá měsíčně kolem 3000 DM, tedy skoro o tisíc méně než dělník v západní části města.
Postion	Tokenization
1	S
2	čím
3	se
4	však
5	ještě
6	nevyrovnal
7	,
8	je
9	fakt
10	,
11	že
12	jako
13	Východoberlíňan
14	vydělá
15	měsíčně
16	kolem
17	3000
18	DM
19	,
20	tedy
21	skoro
22	o
23	tisíc
24	méně
25	než
26	dělník
27	v
28	západní
29	části
30	města
31	.
Position	Tokenization	UPOS	Head	Deprel
1	S	ADP	2	case
2	čím	PRON	6	obl:arg
3	se	PRON	6	expl:pv
4	však	CCONJ	9	cc
5	ještě	ADV	6	advmod
6	nevyrovnal	VERB	9	csubj
7	,	PUNCT	6	punct
8	je	AUX	9	cop
9	fakt	NOUN	0	root
10	,	PUNCT	14	punct
11	že	SCONJ	14	mark
12	jako	SCONJ	13	mark
13	Východoberlíňan	PROPN	14	xcomp
14	vydělá	VERB	9	acl
15	měsíčně	ADV	14	advmod
16	kolem	ADP	18	case
17	3000	NUM	18	nummod
18	DM	NOUN	14	obl
19	,	PUNCT	24	punct
20	tedy	ADV	24	cc
21	skoro	ADV	23	advmod:emph
22	o	ADP	23	case
23	tisíc	NOUN	24	obl
24	méně	ADV	18	appos
25	než	SCONJ	26	mark
26	dělník	NOUN	24	advcl
27	v	ADP	29	case
28	západní	ADJ	29	amod
29	části	NOUN	26	nmod
30	města	NOUN	29	nmod
31	.	PUNCT	9	punct