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:
Jaký měly tyto snímky účinek na pacienty, není zatím jasné, ale skutečnost, že jsou v Egyptě přísně zakázané, zajišťovala podnikavému lékaři určitě bohatou klientelu.
Postion	Tokenization
1	Jaký
2	měly
3	tyto
4	snímky
5	účinek
6	na
7	pacienty
8	,
9	není
10	zatím
11	jasné
12	,
13	ale
14	skutečnost
15	,
16	že
17	jsou
18	v
19	Egyptě
20	přísně
21	zakázané
22	,
23	zajišťovala
24	podnikavému
25	lékaři
26	určitě
27	bohatou
28	klientelu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Jaký	DET	5	det
2	měly	VERB	11	csubj
3	tyto	DET	4	det
4	snímky	NOUN	2	nsubj
5	účinek	NOUN	2	obj
6	na	ADP	7	case
7	pacienty	NOUN	5	nmod
8	,	PUNCT	2	punct
9	není	AUX	11	cop
10	zatím	ADV	11	advmod
11	jasné	ADJ	0	root
12	,	PUNCT	23	punct
13	ale	CCONJ	23	cc
14	skutečnost	NOUN	23	nsubj
15	,	PUNCT	21	punct
16	že	SCONJ	21	mark
17	jsou	AUX	21	cop
18	v	ADP	19	case
19	Egyptě	PROPN	21	obl
20	přísně	ADV	21	advmod
21	zakázané	ADJ	14	acl
22	,	PUNCT	21	punct
23	zajišťovala	VERB	11	conj
24	podnikavému	ADJ	25	amod
25	lékaři	NOUN	23	obl
26	určitě	ADV	23	advmod
27	bohatou	ADJ	28	amod
28	klientelu	NOUN	23	obj
29	.	PUNCT	11	punct