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: Nyní jsme na cestě do Evropy pokročili již dále, ponížené české dušičky, vděčné za nějakou utrousenou marku, jsou ochotny udělat z Prahy město když ne německé, aspoň město s německým nátěrem.
Position	Tokenization	UPOS	Head	Deprel
1	Nyní	ADV	7	advmod
2	jsme	AUX	7	aux
3	na	ADP	4	case
4	cestě	NOUN	7	obl
5	do	ADP	6	case
6	Evropy	PROPN	4	nmod
7	pokročili	VERB	0	root
8	již	ADV	7	advmod
9	dále	ADV	7	advmod
10	,	PUNCT	22	punct
11	ponížené	ADJ	13	amod
12	české	ADJ	13	amod
13	dušičky	NOUN	22	nsubj
14	,	PUNCT	15	punct
15	vděčné	ADJ	13	amod
16	za	ADP	19	case
17	nějakou	DET	19	det
18	utrousenou	ADJ	19	amod
19	marku	NOUN	15	obl:arg
20	,	PUNCT	15	punct
21	jsou	AUX	22	cop
22	ochotny	ADJ	7	conj
23	udělat	VERB	22	xcomp
24	z	ADP	25	case
25	Prahy	PROPN	23	obl:arg
26	město	NOUN	23	obj
27	když	SCONJ	29	mark
28	ne	PART	29	advmod:emph
29	německé	ADJ	26	dep
30	,	PUNCT	29	punct
31	aspoň	ADV	32	advmod:emph
32	město	NOUN	26	dep
33	s	ADP	35	case
34	německým	ADJ	35	amod
35	nátěrem	NOUN	32	nmod
36	.	PUNCT	7	punct