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:
Těch se v dané nahrávce vskutku ideálně zhostili zejména tenorista Anthony Rolfe Johnson, sopranistka Felicity Lottová a barytonista Thomas Allen.
Postion	Tokenization
1	Těch
2	se
3	v
4	dané
5	nahrávce
6	vskutku
7	ideálně
8	zhostili
9	zejména
10	tenorista
11	Anthony
12	Rolfe
13	Johnson
14	,
15	sopranistka
16	Felicity
17	Lottová
18	a
19	barytonista
20	Thomas
21	Allen
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Těch	DET	8	obl:arg
2	se	PRON	8	expl:pv
3	v	ADP	5	case
4	dané	ADJ	5	amod
5	nahrávce	NOUN	8	obl
6	vskutku	ADV	8	advmod
7	ideálně	ADV	8	advmod
8	zhostili	VERB	0	root
9	zejména	ADV	10	advmod:emph
10	tenorista	NOUN	8	nsubj
11	Anthony	PROPN	10	flat
12	Rolfe	PROPN	10	flat
13	Johnson	PROPN	10	flat
14	,	PUNCT	15	punct
15	sopranistka	NOUN	10	conj
16	Felicity	PROPN	15	flat
17	Lottová	PROPN	15	flat
18	a	CCONJ	19	cc
19	barytonista	NOUN	10	conj
20	Thomas	PROPN	19	flat
21	Allen	PROPN	19	flat
22	.	PUNCT	8	punct