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:
Při této příležitosti vyjádřil dík zahraničním institucím, například nizozemské nadaci FACE, které přispívají k odstranění následků znečištění ovzduší v lesních porostech naší republiky.
Postion	Tokenization
1	Při
2	této
3	příležitosti
4	vyjádřil
5	dík
6	zahraničním
7	institucím
8	,
9	například
10	nizozemské
11	nadaci
12	FACE
13	,
14	které
15	přispívají
16	k
17	odstranění
18	následků
19	znečištění
20	ovzduší
21	v
22	lesních
23	porostech
24	naší
25	republiky
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Při	ADP	3	case
2	této	DET	3	det
3	příležitosti	NOUN	4	obl
4	vyjádřil	VERB	0	root
5	dík	NOUN	4	obj
6	zahraničním	ADJ	7	amod
7	institucím	NOUN	4	obl:arg
8	,	PUNCT	11	punct
9	například	ADV	11	cc
10	nizozemské	ADJ	11	amod
11	nadaci	NOUN	7	appos
12	FACE	PROPN	11	nmod
13	,	PUNCT	15	punct
14	které	DET	15	nsubj
15	přispívají	VERB	7	acl:relcl
16	k	ADP	17	case
17	odstranění	NOUN	15	obl:arg
18	následků	NOUN	17	nmod
19	znečištění	NOUN	18	nmod
20	ovzduší	NOUN	19	nmod
21	v	ADP	23	case
22	lesních	ADJ	23	amod
23	porostech	NOUN	20	nmod
24	naší	DET	25	det
25	republiky	NOUN	23	nmod
26	.	PUNCT	4	punct