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:
To je také jedna z příčin, proč někteří renomovaní prognostici na Západě předpovídají pro další léta poměrně vysoká tempa růstu českého HDP, zatímco prognózy pro ostatní země jsou méně optimistické.
Postion	Tokenization
1	To
2	je
3	také
4	jedna
5	z
6	příčin
7	,
8	proč
9	někteří
10	renomovaní
11	prognostici
12	na
13	Západě
14	předpovídají
15	pro
16	další
17	léta
18	poměrně
19	vysoká
20	tempa
21	růstu
22	českého
23	HDP
24	,
25	zatímco
26	prognózy
27	pro
28	ostatní
29	země
30	jsou
31	méně
32	optimistické
33	.
Position	Tokenization	UPOS	Head	Deprel
1	To	DET	4	nsubj
2	je	AUX	4	cop
3	také	ADV	4	advmod
4	jedna	NUM	0	root
5	z	ADP	6	case
6	příčin	NOUN	4	nmod
7	,	PUNCT	14	punct
8	proč	ADV	14	advmod
9	někteří	DET	11	det
10	renomovaní	ADJ	11	amod
11	prognostici	NOUN	14	nsubj
12	na	ADP	13	case
13	Západě	NOUN	11	nmod
14	předpovídají	VERB	6	acl:relcl
15	pro	ADP	17	case
16	další	ADJ	17	amod
17	léta	NOUN	14	obl
18	poměrně	ADV	19	advmod
19	vysoká	ADJ	20	amod
20	tempa	NOUN	14	obj
21	růstu	NOUN	20	nmod
22	českého	ADJ	23	amod
23	HDP	NOUN	21	nmod
24	,	PUNCT	32	punct
25	zatímco	SCONJ	32	mark
26	prognózy	NOUN	32	nsubj
27	pro	ADP	29	case
28	ostatní	ADJ	29	amod
29	země	NOUN	26	nmod
30	jsou	AUX	32	cop
31	méně	ADV	32	advmod
32	optimistické	ADJ	14	advcl
33	.	PUNCT	4	punct