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:
Navíc by to mohl být způsob, jak alespoň přibrzdit stále očekávanou vlnu především "ekonomické" migrace lidí z nejchudších zemí někdejšího komunistického tábora do západo-evropských států.
Postion	Tokenization
1	Navíc
2	by
3	to
4	mohl
5	být
6	způsob
7	,
8	jak
9	alespoň
10	přibrzdit
11	stále
12	očekávanou
13	vlnu
14	především
15	"
16	ekonomické
17	"
18	migrace
19	lidí
20	z
21	nejchudších
22	zemí
23	někdejšího
24	komunistického
25	tábora
26	do
27	západo
28	-
29	evropských
30	států
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Navíc	ADV	4	advmod
2	by	AUX	4	aux
3	to	DET	4	nsubj
4	mohl	VERB	0	root
5	být	AUX	6	cop
6	způsob	NOUN	4	xcomp
7	,	PUNCT	10	punct
8	jak	ADV	10	advmod
9	alespoň	ADV	10	advmod:emph
10	přibrzdit	VERB	6	acl
11	stále	ADV	12	advmod
12	očekávanou	ADJ	13	amod
13	vlnu	NOUN	10	obj
14	především	ADV	16	advmod:emph
15	"	PUNCT	16	punct
16	ekonomické	ADJ	18	amod
17	"	PUNCT	16	punct
18	migrace	NOUN	13	nmod
19	lidí	NOUN	18	nmod
20	z	ADP	22	case
21	nejchudších	ADJ	22	amod
22	zemí	NOUN	19	nmod
23	někdejšího	ADJ	25	amod
24	komunistického	ADJ	25	amod
25	tábora	NOUN	22	nmod
26	do	ADP	30	case
27	západo	ADJ	29	amod
28	-	PUNCT	27	punct
29	evropských	ADJ	30	amod
30	států	NOUN	18	nmod
31	.	PUNCT	4	punct