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: Podle jednoho z majitelů firmy Able Electric Iva Borovce byla kanadskou technikou vybavena řada nemocnic a dětských léčeben - například Fakultní nemocnice Praha 1 a Praha 2, Dětská ozdravovna v Harrachově a další.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	8	case
2	jednoho	NUM	8	nummod
3	z	ADP	4	case
4	majitelů	NOUN	2	nmod
5	firmy	NOUN	4	nmod
6	Able	ADJ	7	obl
7	Electric	ADJ	5	amod
8	Iva	PROPN	13	obl
9	Borovce	PROPN	8	flat
10	byla	AUX	13	cop
11	kanadskou	ADJ	12	amod
12	technikou	NOUN	13	obl:arg
13	vybavena	ADJ	0	root
14	řada	NOUN	13	nsubj
15	nemocnic	NOUN	14	nmod
16	a	CCONJ	18	cc
17	dětských	ADJ	18	amod
18	léčeben	NOUN	15	conj
19	-	PUNCT	22	punct
20	například	ADV	22	cc
21	Fakultní	ADJ	22	amod
22	nemocnice	NOUN	14	appos
23	Praha	PROPN	22	nmod
24	1	NUM	23	nummod
25	a	CCONJ	26	cc
26	Praha	PROPN	23	conj
27	2	NUM	26	nummod
28	,	PUNCT	30	punct
29	Dětská	ADJ	30	amod
30	ozdravovna	NOUN	22	conj
31	v	ADP	32	case
32	Harrachově	PROPN	30	nmod
33	a	CCONJ	34	cc
34	další	ADJ	22	conj
35	.	PUNCT	13	punct