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: Na pražském hlavním nádraží se vedle čistě německých náboženských plakátů, zaplňujících podzemní chodby vedoucí na nástupiště, objevila na boční prosklené stěně nádražní haly více než metrová světelná písmena "AEG Bahnsysteme".;
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	4	case
2	pražském	ADJ	4	amod
3	hlavním	ADJ	4	amod
4	nádraží	NOUN	19	obl
5	se	PRON	19	expl:pv
6	vedle	ADP	10	case
7	čistě	ADV	8	advmod
8	německých	ADJ	10	amod
9	náboženských	ADJ	10	amod
10	plakátů	NOUN	19	obl
11	,	PUNCT	12	punct
12	zaplňujících	ADJ	10	amod
13	podzemní	ADJ	14	amod
14	chodby	NOUN	12	obj
15	vedoucí	ADJ	14	amod
16	na	ADP	17	case
17	nástupiště	NOUN	15	obl
18	,	PUNCT	12	punct
19	objevila	VERB	0	root
20	na	ADP	23	case
21	boční	ADJ	23	amod
22	prosklené	ADJ	23	amod
23	stěně	NOUN	19	obl
24	nádražní	ADJ	25	amod
25	haly	NOUN	23	nmod
26	více	ADV	28	advmod
27	než	SCONJ	26	fixed
28	metrová	ADJ	30	amod
29	světelná	ADJ	30	amod
30	písmena	NOUN	19	nsubj
31	"	PUNCT	33	punct
32	AEG	PROPN	33	nmod
33	Bahnsysteme	PROPN	30	nmod
34	"	PUNCT	33	punct
35	.	PUNCT	19	punct
36	;	PUNCT	19	punct