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:
Podobnost tohoto inzerátu s portrétem budoucího ředitele Národní galerie, který ve svém článku Ředitelé mezi obrazy a lidmi načrtl Jiří Machalický (LN, 23. 8. 94) zjevně není náhodná.
Postion	Tokenization
1	Podobnost
2	tohoto
3	inzerátu
4	s
5	portrétem
6	budoucího
7	ředitele
8	Národní
9	galerie
10	,
11	který
12	ve
13	svém
14	článku
15	Ředitelé
16	mezi
17	obrazy
18	a
19	lidmi
20	načrtl
21	Jiří
22	Machalický
23	(
24	LN
25	,
26	23
27	.
28	8
29	.
30	94
31	)
32	zjevně
33	není
34	náhodná
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Podobnost	NOUN	34	nsubj
2	tohoto	DET	3	det
3	inzerátu	NOUN	1	nmod
4	s	ADP	5	case
5	portrétem	NOUN	1	nmod
6	budoucího	ADJ	7	amod
7	ředitele	NOUN	5	nmod
8	Národní	ADJ	9	amod
9	galerie	NOUN	7	nmod
10	,	PUNCT	20	punct
11	který	DET	20	obj
12	ve	ADP	14	case
13	svém	DET	14	det
14	článku	NOUN	20	obl
15	Ředitelé	NOUN	14	nmod
16	mezi	ADP	17	case
17	obrazy	NOUN	15	nmod
18	a	CCONJ	19	cc
19	lidmi	NOUN	17	conj
20	načrtl	VERB	5	acl:relcl
21	Jiří	PROPN	20	nsubj
22	Machalický	PROPN	21	flat
23	(	PUNCT	24	punct
24	LN	PROPN	20	dep
25	,	PUNCT	28	punct
26	23	NUM	28	compound
27	.	PUNCT	26	punct
28	8	NUM	24	conj
29	.	PUNCT	28	punct
30	94	NUM	28	compound
31	)	PUNCT	24	punct
32	zjevně	ADV	34	advmod
33	není	AUX	34	cop
34	náhodná	ADJ	0	root
35	.	PUNCT	34	punct