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: Vybírá si některé německé filozofy a jejich myšlenky, kterými pak charakterizuje Němce vůbec: "Nacismus měl v Německu masový úspěch, protože Hitlerovi se podařilo vepsat svoji kauzu do kontextu německé nenávisti k západní modernosti, k utilitaristické a internacionální civilizaci."
Position	Tokenization	UPOS	Head	Deprel
1	Vybírá	VERB	0	root
2	si	PRON	1	expl:pv
3	některé	DET	5	det
4	německé	ADJ	5	amod
5	filozofy	NOUN	1	obj
6	a	CCONJ	8	cc
7	jejich	DET	8	det
8	myšlenky	NOUN	5	conj
9	,	PUNCT	12	punct
10	kterými	DET	12	obl
11	pak	ADV	12	advmod
12	charakterizuje	VERB	8	acl:relcl
13	Němce	PROPN	12	obj
14	vůbec	ADV	13	advmod
15	:	PUNCT	18	punct
16	"	PUNCT	18	punct
17	Nacismus	NOUN	18	nsubj
18	měl	VERB	1	conj
19	v	ADP	20	case
20	Německu	PROPN	18	obl
21	masový	ADJ	22	amod
22	úspěch	NOUN	18	obj
23	,	PUNCT	27	punct
24	protože	SCONJ	27	mark
25	Hitlerovi	PROPN	27	obl:arg
26	se	PRON	27	expl:pv
27	podařilo	VERB	18	advcl
28	vepsat	VERB	27	csubj
29	svoji	DET	30	det
30	kauzu	NOUN	28	obj
31	do	ADP	32	case
32	kontextu	NOUN	28	obl
33	německé	ADJ	34	amod
34	nenávisti	NOUN	32	nmod
35	k	ADP	37	case
36	západní	ADJ	37	amod
37	modernosti	NOUN	34	nmod
38	,	PUNCT	43	punct
39	k	ADP	43	case
40	utilitaristické	ADJ	43	amod
41	a	CCONJ	42	cc
42	internacionální	ADJ	40	conj
43	civilizaci	NOUN	37	conj
44	.	PUNCT	1	punct
45	"	PUNCT	1	punct