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:
Že S-Bahn šinoucí se brzy ráno z Alexanderplatzu dál západním směrem (a naopak) kolíbá mačkanici pracantů, kterým tato trasa po čtyřech letech přijde samozřejmá.
Postion	Tokenization
1	Že
2	S
3	-
4	Bahn
5	šinoucí
6	se
7	brzy
8	ráno
9	z
10	Alexanderplatzu
11	dál
12	západním
13	směrem
14	(
15	a
16	naopak
17	)
18	kolíbá
19	mačkanici
20	pracantů
21	,
22	kterým
23	tato
24	trasa
25	po
26	čtyřech
27	letech
28	přijde
29	samozřejmá
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Že	SCONJ	18	mark
2	S	PROPN	4	nmod
3	-	PUNCT	2	punct
4	Bahn	PROPN	18	nsubj
5	šinoucí	ADJ	4	amod
6	se	PRON	5	expl:pv
7	brzy	ADV	8	advmod
8	ráno	ADV	5	advmod
9	z	ADP	10	case
10	Alexanderplatzu	PROPN	5	obl
11	dál	ADV	5	advmod
12	západním	ADJ	13	amod
13	směrem	NOUN	5	obl
14	(	PUNCT	16	punct
15	a	CCONJ	16	cc
16	naopak	ADV	13	conj
17	)	PUNCT	16	punct
18	kolíbá	VERB	0	root
19	mačkanici	NOUN	18	obj
20	pracantů	NOUN	19	nmod
21	,	PUNCT	28	punct
22	kterým	DET	28	obl
23	tato	DET	24	det
24	trasa	NOUN	28	nsubj
25	po	ADP	27	case
26	čtyřech	NUM	27	nummod
27	letech	NOUN	28	obl
28	přijde	VERB	20	acl:relcl
29	samozřejmá	ADJ	28	obj
30	.	PUNCT	18	punct