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:
Postupně, tak jak by postupoval proces restituce a privatizace, by byli stále více připoutáváni k půdě a s nimi i celé rodiny.
Postion	Tokenization
1	Postupně
2	,
3	tak
4	jak
5	by
6	postupoval
7	proces
8	restituce
9	a
10	privatizace
11	,
12	by
13	byli
14	stále
15	více
16	připoutáváni
17	k
18	půdě
19	_
20	a
21	s
22	nimi
23	i
24	celé
25	rodiny
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Postupně	ADV	16	advmod
2	,	PUNCT	6	punct
3	tak	ADV	6	advmod
4	jak	ADV	6	advmod
5	by	AUX	6	aux
6	postupoval	VERB	1	appos
7	proces	NOUN	6	nsubj
8	restituce	NOUN	7	nmod
9	a	CCONJ	10	cc
10	privatizace	NOUN	8	conj
11	,	PUNCT	6	punct
12	by	AUX	16	aux
13	byli	AUX	16	aux:pass
14	stále	ADV	16	advmod
15	více	ADV	16	advmod
16	připoutáváni	ADJ	0	root
17	k	ADP	18	case
18	půdě	NOUN	16	obl
19	_	_	None	_
20	a	CCONJ	21	cc
21	s	ADP	21	case
22	nimi	PRON	16	conj
23	i	CCONJ	24	advmod:emph
24	celé	ADJ	24	amod
25	rodiny	NOUN	21	orphan
26	.	PUNCT	16	punct