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:
Záchranáři vylepšili vybavení z dotace pražského ČČK o vakuová nosítka a vakuové dlahy na končetiny, zakoupen byl také kyslíkový dýchací přístroj.
Postion	Tokenization
1	Záchranáři
2	vylepšili
3	vybavení
4	z
5	dotace
6	pražského
7	ČČK
8	o
9	vakuová
10	nosítka
11	a
12	vakuové
13	dlahy
14	na
15	končetiny
16	,
17	zakoupen
18	byl
19	také
20	kyslíkový
21	dýchací
22	přístroj
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Záchranáři	NOUN	2	nsubj
2	vylepšili	VERB	0	root
3	vybavení	NOUN	2	obj
4	z	ADP	5	case
5	dotace	NOUN	2	obl
6	pražského	ADJ	7	amod
7	ČČK	PROPN	5	nmod
8	o	ADP	10	case
9	vakuová	ADJ	10	amod
10	nosítka	NOUN	2	obl
11	a	CCONJ	13	cc
12	vakuové	ADJ	13	amod
13	dlahy	NOUN	10	conj
14	na	ADP	15	case
15	končetiny	NOUN	13	nmod
16	,	PUNCT	17	punct
17	zakoupen	ADJ	2	conj
18	byl	AUX	17	cop
19	také	ADV	17	advmod
20	kyslíkový	ADJ	22	amod
21	dýchací	ADJ	22	amod
22	přístroj	NOUN	17	nsubj
23	.	PUNCT	2	punct