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:
Přes to všechno však i on patří mezi druhy zapsané v Červené knize a jeho počty neustále klesají - jednou z hlavních příčin je především ztráta vhodných hnízdních příležitostí.
Postion	Tokenization
1	Přes
2	to
3	všechno
4	však
5	i
6	on
7	patří
8	mezi
9	druhy
10	zapsané
11	v
12	Červené
13	knize
14	a
15	jeho
16	počty
17	neustále
18	klesají
19	-
20	jednou
21	z
22	hlavních
23	příčin
24	je
25	především
26	ztráta
27	vhodných
28	hnízdních
29	příležitostí
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Přes	ADP	2	case
2	to	DET	7	obl
3	všechno	DET	2	det
4	však	CCONJ	7	cc
5	i	CCONJ	6	advmod:emph
6	on	PRON	7	nsubj
7	patří	VERB	0	root
8	mezi	ADP	9	case
9	druhy	NOUN	7	obl
10	zapsané	ADJ	9	amod
11	v	ADP	13	case
12	Červené	ADJ	13	amod
13	knize	NOUN	10	obl
14	a	CCONJ	18	cc
15	jeho	DET	16	det
16	počty	NOUN	18	nsubj
17	neustále	ADV	18	advmod
18	klesají	VERB	7	conj
19	-	PUNCT	20	punct
20	jednou	NUM	18	conj
21	z	ADP	23	case
22	hlavních	ADJ	23	amod
23	příčin	NOUN	20	nmod
24	je	AUX	20	cop
25	především	ADV	26	advmod:emph
26	ztráta	NOUN	20	nsubj
27	vhodných	ADJ	29	amod
28	hnízdních	ADJ	29	amod
29	příležitostí	NOUN	26	nmod
30	.	PUNCT	7	punct