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: Odborné vyjadřování je silně terminologizované, a protože termíny mívají převážně podobu substantivní, záleží výhoda konstrukcí slovesně-jmenných právě v tom, že se v nich objevují termíny v jmenné podobě:
Position	Tokenization	UPOS	Head	Deprel
1	Odborné	ADJ	2	amod
2	vyjadřování	NOUN	5	nsubj
3	je	AUX	5	cop
4	silně	ADV	5	advmod
5	terminologizované	ADJ	0	root
6	,	PUNCT	15	punct
7	a	CCONJ	15	cc
8	protože	SCONJ	10	mark
9	termíny	NOUN	10	nsubj
10	mívají	VERB	15	advcl
11	převážně	ADV	10	advmod
12	podobu	NOUN	10	obj
13	substantivní	ADJ	12	amod
14	,	PUNCT	10	punct
15	záleží	VERB	5	conj
16	výhoda	NOUN	15	nsubj
17	konstrukcí	NOUN	16	nmod
18	slovesně	ADV	17	advmod
19	-	PUNCT	20	punct
20	jmenných	ADJ	18	conj
21	právě	ADV	23	advmod:emph
22	v	ADP	23	case
23	tom	DET	15	obl
24	,	PUNCT	29	punct
25	že	SCONJ	29	mark
26	se	PRON	29	expl:pv
27	v	ADP	28	case
28	nich	PRON	29	obl
29	objevují	VERB	23	acl
30	termíny	NOUN	29	nsubj
31	v	ADP	33	case
32	jmenné	ADJ	33	amod
33	podobě	NOUN	30	nmod
34	:	PUNCT	5	punct