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:
Každé jeho album je netrpělivě očekáváno, neboť Peter Gabriel je jedním z mála, který dokáže svými písněmi potěšit širší publikum a přitom uspokojit vyznavače náročnější tvorby.
Postion	Tokenization
1	Každé
2	jeho
3	album
4	je
5	netrpělivě
6	očekáváno
7	,
8	neboť
9	Peter
10	Gabriel
11	je
12	jedním
13	z
14	mála
15	,
16	který
17	dokáže
18	svými
19	písněmi
20	potěšit
21	širší
22	publikum
23	a
24	přitom
25	uspokojit
26	vyznavače
27	náročnější
28	tvorby
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Každé	DET	3	det
2	jeho	DET	3	det
3	album	NOUN	6	nsubj:pass
4	je	AUX	6	aux:pass
5	netrpělivě	ADV	6	advmod
6	očekáváno	ADJ	0	root
7	,	PUNCT	12	punct
8	neboť	CCONJ	12	cc
9	Peter	PROPN	12	nsubj
10	Gabriel	PROPN	9	flat
11	je	AUX	12	cop
12	jedním	NUM	6	conj
13	z	ADP	14	case
14	mála	DET	12	det:nummod
15	,	PUNCT	17	punct
16	který	DET	17	nsubj
17	dokáže	VERB	12	acl:relcl
18	svými	DET	19	det
19	písněmi	NOUN	20	obl
20	potěšit	VERB	17	xcomp
21	širší	ADJ	22	amod
22	publikum	NOUN	20	obj
23	a	CCONJ	25	cc
24	přitom	ADV	25	advmod
25	uspokojit	VERB	20	conj
26	vyznavače	NOUN	25	obj
27	náročnější	ADJ	28	amod
28	tvorby	NOUN	26	nmod
29	.	PUNCT	6	punct