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: Když se člověk postupně obklopuje věcmi, ke kterým nemá jen vztah majetníka, ale uvědomuje si, že je potřebuje k životu, tak vždycky vytváří taková nová propojení, nové souvislosti, které zase může kdykoliv aktualizovat.
Position	Tokenization	UPOS	Head	Deprel
1	Když	SCONJ	5	mark
2	se	PRON	5	obj
3	člověk	NOUN	5	nsubj
4	postupně	ADV	5	advmod
5	obklopuje	VERB	27	advcl
6	věcmi	NOUN	5	obl:arg
7	,	PUNCT	10	punct
8	ke	ADP	9	case
9	kterým	DET	12	det
10	nemá	VERB	6	acl
11	jen	PART	12	advmod:emph
12	vztah	NOUN	10	obj
13	majetníka	NOUN	12	nmod
14	,	PUNCT	16	punct
15	ale	CCONJ	16	cc
16	uvědomuje	VERB	10	conj
17	si	PRON	16	expl:pv
18	,	PUNCT	21	punct
19	že	SCONJ	21	mark
20	je	PRON	21	obj
21	potřebuje	VERB	16	ccomp
22	k	ADP	23	case
23	životu	NOUN	21	obl
24	,	PUNCT	5	punct
25	tak	CCONJ	27	advmod
26	vždycky	ADV	27	advmod
27	vytváří	VERB	0	root
28	taková	DET	30	det
29	nová	ADJ	30	amod
30	propojení	NOUN	27	obj
31	,	PUNCT	33	punct
32	nové	ADJ	33	amod
33	souvislosti	NOUN	30	conj
34	,	PUNCT	37	punct
35	které	DET	39	obj
36	zase	ADV	37	advmod
37	může	VERB	30	acl:relcl
38	kdykoliv	ADV	37	advmod
39	aktualizovat	VERB	37	xcomp
40	.	PUNCT	27	punct