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:
Šéf Strany demokratické levice Peter Weiss označil SNP za pozitivní událost v historii Slovenska, protože se jím Slováci zařadili mezi národy, které se jednoznačně postavily proti fašismu.
Postion	Tokenization
1	Šéf
2	Strany
3	demokratické
4	levice
5	Peter
6	Weiss
7	označil
8	SNP
9	za
10	pozitivní
11	událost
12	v
13	historii
14	Slovenska
15	,
16	protože
17	se
18	jím
19	Slováci
20	zařadili
21	mezi
22	národy
23	,
24	které
25	se
26	jednoznačně
27	postavily
28	proti
29	fašismu
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Šéf	NOUN	7	nsubj
2	Strany	NOUN	1	nmod
3	demokratické	ADJ	4	amod
4	levice	NOUN	2	nmod
5	Peter	PROPN	1	flat
6	Weiss	PROPN	1	flat
7	označil	VERB	0	root
8	SNP	PROPN	7	obj
9	za	ADP	11	case
10	pozitivní	ADJ	11	amod
11	událost	NOUN	7	obl:arg
12	v	ADP	13	case
13	historii	NOUN	11	nmod
14	Slovenska	PROPN	13	nmod
15	,	PUNCT	20	punct
16	protože	SCONJ	20	mark
17	se	PRON	20	obj
18	jím	PRON	20	obl
19	Slováci	PROPN	20	nsubj
20	zařadili	VERB	7	advcl
21	mezi	ADP	22	case
22	národy	NOUN	20	obl
23	,	PUNCT	27	punct
24	které	DET	27	nsubj
25	se	PRON	27	expl:pv
26	jednoznačně	ADV	27	advmod
27	postavily	VERB	22	acl:relcl
28	proti	ADP	29	case
29	fašismu	NOUN	27	obl
30	.	PUNCT	7	punct