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: Lze říct, že postojem k Německu a k Němcům se Češi nejen politicky, ale i filozoficky definují a že typem tohoto postoje vymezují nejen svůj vztah k vlastní historii, ale také sám typ svého národního i státního sebepochopení.
Position	Tokenization	UPOS	Head	Deprel
1	Lze	VERB	0	root
2	říct	VERB	1	csubj
3	,	PUNCT	19	punct
4	že	SCONJ	19	mark
5	postojem	NOUN	19	obl
6	k	ADP	7	case
7	Německu	PROPN	5	nmod
8	a	CCONJ	10	cc
9	k	ADP	10	case
10	Němcům	PROPN	7	conj
11	se	PRON	19	obj
12	Češi	PROPN	19	nsubj
13	nejen	PART	14	advmod:emph
14	politicky	ADV	19	advmod
15	,	PUNCT	18	punct
16	ale	CCONJ	18	cc
17	i	CCONJ	18	advmod:emph
18	filozoficky	ADV	14	conj
19	definují	VERB	2	ccomp
20	a	CCONJ	25	cc
21	že	SCONJ	25	mark
22	typem	NOUN	25	obl
23	tohoto	DET	24	det
24	postoje	NOUN	22	nmod
25	vymezují	VERB	19	conj
26	nejen	PART	31	advmod:emph
27	svůj	DET	28	det
28	vztah	NOUN	25	obj
29	k	ADP	31	case
30	vlastní	ADJ	31	amod
31	historii	NOUN	28	nmod
32	,	PUNCT	36	punct
33	ale	CCONJ	36	cc
34	také	ADV	36	advmod:emph
35	sám	DET	36	xcomp
36	typ	NOUN	28	conj
37	svého	DET	41	det
38	národního	ADJ	41	amod
39	i	CCONJ	40	cc
40	státního	ADJ	38	conj
41	sebepochopení	NOUN	36	nmod
42	.	PUNCT	1	punct