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:
Posoudit je může jen skutečný expert, který k tomu má navíc příslušné vybavení, ale i pak má hodnocení, snad kromě prvního C, mírně subjektivní nádech.
Postion	Tokenization
1	Posoudit
2	je
3	může
4	jen
5	skutečný
6	expert
7	,
8	který
9	k
10	tomu
11	má
12	navíc
13	příslušné
14	vybavení
15	,
16	ale
17	i
18	pak
19	má
20	hodnocení
21	,
22	snad
23	kromě
24	prvního
25	C
26	,
27	mírně
28	subjektivní
29	nádech
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Posoudit	VERB	3	xcomp
2	je	PRON	1	obj
3	může	VERB	0	root
4	jen	PART	6	advmod:emph
5	skutečný	ADJ	6	amod
6	expert	NOUN	3	nsubj
7	,	PUNCT	11	punct
8	který	DET	11	nsubj
9	k	ADP	10	case
10	tomu	DET	14	det
11	má	VERB	6	acl:relcl
12	navíc	ADV	11	advmod
13	příslušné	ADJ	14	amod
14	vybavení	NOUN	11	obj
15	,	PUNCT	11	punct
16	ale	CCONJ	19	cc
17	i	CCONJ	18	advmod:emph
18	pak	ADV	19	advmod
19	má	VERB	3	conj
20	hodnocení	NOUN	19	nsubj
21	,	PUNCT	25	punct
22	snad	ADV	25	cc
23	kromě	ADP	25	case
24	prvního	ADJ	25	amod
25	C	NOUN	20	nmod
26	,	PUNCT	25	punct
27	mírně	ADV	28	advmod
28	subjektivní	ADJ	29	amod
29	nádech	NOUN	19	obj
30	.	PUNCT	3	punct