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: Nejen proto, že pršelo a sešlo se odhadem dvě stě lidí: název akce - Chrasten - znamená staročesky Vyšehrad, její podoba paradoxně připomínala nostalgické a marné vyvolávání atmosféry spojené s historií mnohem bližší, a přesto dnes už anachronické.
Position	Tokenization	UPOS	Head	Deprel
1	Nejen	PART	2	advmod:emph
2	proto	ADV	0	root
3	_	_	None	_
4	,	PUNCT	5	punct
5	že	SCONJ	5	mark
6	pršelo	VERB	2	conj
7	a	CCONJ	7	cc
8	sešlo	VERB	5	conj
9	se	PRON	7	expl:pv
10	odhadem	NOUN	11	nmod
11	dvě	NUM	11	nummod
12	stě	NOUN	7	nsubj
13	lidí	NOUN	11	nmod
14	:	PUNCT	5	punct
15	název	NOUN	19	nsubj
16	akce	NOUN	14	nmod
17	-	PUNCT	17	punct
18	Chrasten	PROPN	14	appos
19	-	PUNCT	17	punct
20	znamená	VERB	5	orphan
21	staročesky	ADV	19	advmod
22	Vyšehrad	PROPN	19	obj
23	,	PUNCT	26	punct
24	její	DET	24	det
25	podoba	NOUN	26	nsubj
26	paradoxně	ADV	26	advmod
27	připomínala	VERB	19	conj
28	nostalgické	ADJ	30	amod
29	a	CCONJ	29	cc
30	marné	ADJ	27	conj
31	vyvolávání	NOUN	26	obj
32	atmosféry	NOUN	30	nmod
33	spojené	ADJ	31	amod
34	s	ADP	34	case
35	historií	NOUN	32	obl:arg
36	mnohem	ADV	36	advmod
37	bližší	ADJ	34	amod
38	,	PUNCT	42	punct
39	a	CCONJ	42	cc
40	přesto	ADV	42	cc
41	dnes	ADV	42	advmod
42	už	ADV	42	advmod
43	anachronické	ADJ	36	conj
44	.	PUNCT	2	punct