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: Uvědomil jsem si to i při pročítání City expresu - inzertních novin s nejvyšším (pozn. autora - opravdu?) nákladem, kde byly inzeráty na "Nejlevnější žaluzie" i "Nejlevnější zájezdy na léto 1994".
Position	Tokenization	UPOS	Head	Deprel
1	Uvědomil	VERB	0	root
2	jsem	AUX	1	aux
3	si	PRON	1	expl:pv
4	to	DET	1	obj
5	i	CCONJ	7	advmod:emph
6	při	ADP	7	case
7	pročítání	NOUN	1	obl
8	City	ADJ	9	amod
9	expresu	NOUN	7	nmod
10	-	PUNCT	12	punct
11	inzertních	ADJ	12	amod
12	novin	NOUN	9	appos
13	s	ADP	23	case
14	nejvyšším	ADJ	23	amod
15	(	PUNCT	14	punct
16	pozn	NOUN	14	dep
17	.	PUNCT	16	punct
18	autora	NOUN	16	nmod
19	-	PUNCT	20	punct
20	opravdu	ADV	16	advmod
21	?	PUNCT	20	punct
22	)	PUNCT	14	punct
23	nákladem	NOUN	12	nmod
24	,	PUNCT	26	punct
25	kde	ADV	26	advmod
26	byly	VERB	9	acl:relcl
27	inzeráty	NOUN	26	nsubj
28	na	ADP	31	case
29	"	PUNCT	31	punct
30	Nejlevnější	ADJ	31	amod
31	žaluzie	NOUN	27	nmod
32	"	PUNCT	31	punct
33	i	CCONJ	36	cc
34	"	PUNCT	36	punct
35	Nejlevnější	ADJ	36	amod
36	zájezdy	NOUN	31	conj
37	na	ADP	38	case
38	léto	NOUN	36	nmod
39	1994	NUM	38	nummod
40	"	PUNCT	36	punct
41	.	PUNCT	1	punct