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: S odstupem let projevy negativního postoje k někdejšímu mocnářství přestaly být aktuální a jméno maršála Radeckého vymizelo z povědomí občanů právě tak jako jeho pomník odstraněný hned po první světové válce z Malostranského náměstí.
Position	Tokenization	UPOS	Head	Deprel
1	S	ADP	2	case
2	odstupem	NOUN	10	obl
3	let	NOUN	2	nmod
4	projevy	NOUN	10	nsubj
5	negativního	ADJ	6	amod
6	postoje	NOUN	4	nmod
7	k	ADP	9	case
8	někdejšímu	ADJ	9	amod
9	mocnářství	NOUN	6	nmod
10	přestaly	VERB	0	root
11	být	AUX	12	cop
12	aktuální	ADJ	10	xcomp
13	a	CCONJ	17	cc
14	jméno	NOUN	17	nsubj
15	maršála	NOUN	14	nmod
16	Radeckého	PROPN	15	flat
17	vymizelo	VERB	10	conj
18	z	ADP	19	case
19	povědomí	NOUN	17	obl
20	občanů	NOUN	19	nmod
21	právě	ADV	22	advmod:emph
22	tak	ADV	17	advmod
23	jako	SCONJ	25	mark
24	jeho	DET	25	det
25	pomník	NOUN	22	advcl
26	odstraněný	ADJ	25	amod
27	hned	ADV	31	advmod:emph
28	po	ADP	31	case
29	první	ADJ	31	amod
30	světové	ADJ	31	amod
31	válce	NOUN	26	obl
32	z	ADP	34	case
33	Malostranského	ADJ	34	amod
34	náměstí	NOUN	26	obl
35	.	PUNCT	10	punct