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: Díky svému povolání a celoživotnímu sebevzdělávání vstřebal do hloubky i jiné, neevropské kultury, takže jej Václav Černý nazval univerzálním básníkem: "přináší si do své tvorby myšlenku lidské obecnosti a všelidského společenství přímo na čele, z moci své víry".
Position	Tokenization	UPOS	Head	Deprel
1	Díky	ADP	3	case
2	svému	DET	3	det
3	povolání	NOUN	7	obl
4	a	CCONJ	6	cc
5	celoživotnímu	ADJ	6	amod
6	sebevzdělávání	NOUN	3	conj
7	vstřebal	VERB	0	root
8	do	ADP	9	case
9	hloubky	NOUN	7	obl
10	i	CCONJ	14	advmod:emph
11	jiné	ADJ	14	amod
12	,	PUNCT	13	punct
13	neevropské	ADJ	11	appos
14	kultury	NOUN	7	obj
15	,	PUNCT	20	punct
16	takže	SCONJ	20	mark
17	jej	PRON	20	obj
18	Václav	PROPN	20	nsubj
19	Černý	PROPN	18	flat
20	nazval	VERB	7	advcl
21	univerzálním	ADJ	22	amod
22	básníkem	NOUN	20	obl:arg
23	:	PUNCT	25	punct
24	"	PUNCT	25	punct
25	přináší	VERB	7	conj
26	si	PRON	25	discourse
27	do	ADP	29	case
28	své	DET	29	det
29	tvorby	NOUN	25	obl
30	myšlenku	NOUN	25	obj
31	lidské	ADJ	32	amod
32	obecnosti	NOUN	30	nmod
33	a	CCONJ	35	cc
34	všelidského	ADJ	35	amod
35	společenství	NOUN	32	conj
36	přímo	ADV	38	advmod:emph
37	na	ADP	38	case
38	čele	NOUN	25	obl
39	,	PUNCT	41	punct
40	z	ADP	41	case
41	moci	NOUN	38	conj
42	své	DET	43	det
43	víry	NOUN	41	nmod
44	"	PUNCT	25	punct
45	.	PUNCT	7	punct