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:
Charakteristické je zamlžené a zkreslené vidění a při vyšetření byl zjištěn otok sítnice, uvedl pro ČT Tomáš Sosna z očního oddělení pražské Thomayerovy nemocnice.
Postion	Tokenization
1	Charakteristické
2	je
3	zamlžené
4	a
5	zkreslené
6	vidění
7	a
8	při
9	vyšetření
10	byl
11	zjištěn
12	otok
13	sítnice
14	,
15	uvedl
16	pro
17	ČT
18	Tomáš
19	Sosna
20	z
21	očního
22	oddělení
23	pražské
24	Thomayerovy
25	nemocnice
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Charakteristické	ADJ	15	ccomp
2	je	AUX	1	cop
3	zamlžené	ADJ	6	amod
4	a	CCONJ	5	cc
5	zkreslené	ADJ	3	conj
6	vidění	NOUN	1	nsubj
7	a	CCONJ	11	cc
8	při	ADP	9	case
9	vyšetření	NOUN	11	obl
10	byl	AUX	11	aux:pass
11	zjištěn	ADJ	1	conj
12	otok	NOUN	11	nsubj:pass
13	sítnice	NOUN	12	nmod
14	,	PUNCT	1	punct
15	uvedl	VERB	0	root
16	pro	ADP	17	case
17	ČT	PROPN	15	obl
18	Tomáš	PROPN	15	nsubj
19	Sosna	PROPN	18	flat
20	z	ADP	22	case
21	očního	ADJ	22	amod
22	oddělení	NOUN	18	nmod
23	pražské	ADJ	25	amod
24	Thomayerovy	ADJ	25	amod
25	nemocnice	NOUN	22	nmod
26	.	PUNCT	15	punct