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 tokenized text:
Památku obětí komunismu v souvislosti s 26. výročím sebeupálení Jana Zajíce na protest proti okupaci Československa si včera připomněli občané na pražském Václavském náměstí.
Postion	Tokenization
1	Památku
2	obětí
3	komunismu
4	v
5	souvislosti
6	s
7	26
8	.
9	výročím
10	sebeupálení
11	Jana
12	Zajíce
13	na
14	protest
15	proti
16	okupaci
17	Československa
18	si
19	včera
20	připomněli
21	občané
22	na
23	pražském
24	Václavském
25	náměstí
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Památku	NOUN	20	obj
2	obětí	NOUN	1	nmod
3	komunismu	NOUN	2	nmod
4	v	ADP	9	case
5	souvislosti	NOUN	4	fixed
6	s	ADP	4	fixed
7	26	NUM	9	nummod
8	.	PUNCT	7	punct
9	výročím	NOUN	20	obl
10	sebeupálení	NOUN	9	nmod
11	Jana	PROPN	10	nmod
12	Zajíce	PROPN	11	flat
13	na	ADP	14	case
14	protest	NOUN	10	nmod
15	proti	ADP	16	case
16	okupaci	NOUN	14	nmod
17	Československa	PROPN	16	nmod
18	si	PRON	20	obl:arg
19	včera	ADV	20	advmod
20	připomněli	VERB	0	root
21	občané	NOUN	20	nsubj
22	na	ADP	25	case
23	pražském	ADJ	25	amod
24	Václavském	ADJ	25	amod
25	náměstí	NOUN	20	obl
26	.	PUNCT	20	punct