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: Opicím se promítaly různé lidské tváře a ukázalo se, že při jejich poznávání se uplatňují dvě místa v mozku, jedno zjišťuje geometrické tvary obličeje, druhé podobnost tvarů.
Position	Tokenization	UPOS	Head	Deprel
1	Opicím	NOUN	3	obl:arg
2	se	PRON	3	expl:pass
3	promítaly	VERB	0	root
4	různé	ADJ	6	amod
5	lidské	ADJ	6	amod
6	tváře	NOUN	3	nsubj:pass
7	a	CCONJ	8	cc
8	ukázalo	VERB	3	conj
9	se	PRON	8	expl:pv
10	,	PUNCT	16	punct
11	že	SCONJ	16	mark
12	při	ADP	14	case
13	jejich	DET	14	obl
14	poznávání	NOUN	16	nmod
15	se	PRON	16	expl:pv
16	uplatňují	VERB	8	csubj
17	dvě	NUM	18	nummod
18	místa	NOUN	16	nsubj
19	v	ADP	20	case
20	mozku	NOUN	18	nmod
21	,	PUNCT	23	punct
22	jedno	NUM	23	dep
23	zjišťuje	VERB	18	appos
24	geometrické	ADJ	25	amod
25	tvary	NOUN	23	obj
26	obličeje	NOUN	25	nmod
27	_	_	None	_
28	,	PUNCT	28	punct
29	druhé	ADJ	23	conj
30	podobnost	NOUN	28	orphan
31	tvarů	NOUN	29	nmod
32	.	PUNCT	3	punct