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: Zatímco se v šedesátých letech, kdy práce bylo dostatek, diskutovalo o jejích odcizujících aspektech, dnes více než patnáct procent ekonomicky aktivního obyvatelstva může jen vzpomínat, jaké to bylo trpět odcizením za zdmi továren i kanceláří.
Position	Tokenization	UPOS	Head	Deprel
1	Zatímco	SCONJ	12	mark
2	se	PRON	12	expl:pass
3	v	ADP	5	case
4	šedesátých	ADJ	5	amod
5	letech	NOUN	12	obl
6	,	PUNCT	9	punct
7	kdy	ADV	9	advmod
8	práce	NOUN	10	nmod
9	bylo	VERB	5	acl:relcl
10	dostatek	NOUN	9	nsubj
11	,	PUNCT	9	punct
12	diskutovalo	VERB	26	advcl
13	o	ADP	16	case
14	jejích	DET	16	det
15	odcizujících	ADJ	16	amod
16	aspektech	NOUN	12	obl:arg
17	,	PUNCT	12	punct
18	dnes	ADV	26	advmod
19	více	ADV	26	nsubj
20	než	SCONJ	22	mark
21	patnáct	NUM	22	nummod:gov
22	procent	NOUN	19	obl
23	ekonomicky	ADV	24	advmod
24	aktivního	ADJ	25	amod
25	obyvatelstva	NOUN	19	nmod
26	může	VERB	0	root
27	jen	PART	28	advmod:emph
28	vzpomínat	VERB	26	xcomp
29	,	PUNCT	30	punct
30	jaké	DET	28	ccomp
31	to	DET	30	discourse
32	bylo	AUX	30	cop
33	trpět	VERB	30	csubj
34	odcizením	NOUN	33	obl:arg
35	za	ADP	36	case
36	zdmi	NOUN	33	obl
37	továren	NOUN	36	nmod
38	i	CCONJ	39	cc
39	kanceláří	NOUN	37	conj
40	.	PUNCT	26	punct