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: Až jsem se díky jiným moudrým lidem ocitl před člověkem, který dostal zabrat víc než já, seděl už déle než já, a přesto z něj čišela pohoda, klid a jistota, které mě hned "dostaly".
Position	Tokenization	UPOS	Head	Deprel
1	Až	PART	8	advmod
2	jsem	AUX	8	aux
3	se	PRON	8	expl:pv
4	díky	ADP	7	case
5	jiným	ADJ	7	amod
6	moudrým	ADJ	7	amod
7	lidem	NOUN	8	obl
8	ocitl	VERB	0	root
9	před	ADP	10	case
10	člověkem	NOUN	8	obl
11	,	PUNCT	13	punct
12	který	DET	13	nsubj
13	dostal	VERB	10	acl:relcl
14	zabrat	VERB	13	xcomp
15	víc	ADV	14	advmod
16	než	SCONJ	17	mark
17	já	PRON	15	advcl
18	,	PUNCT	19	punct
19	seděl	VERB	13	conj
20	už	ADV	21	advmod:emph
21	déle	ADV	19	advmod
22	než	SCONJ	23	mark
23	já	PRON	21	advcl
24	,	PUNCT	29	punct
25	a	CCONJ	29	cc
26	přesto	ADV	29	cc
27	z	ADP	28	case
28	něj	PRON	29	obl
29	čišela	VERB	13	conj
30	pohoda	NOUN	29	nsubj
31	,	PUNCT	32	punct
32	klid	NOUN	30	conj
33	a	CCONJ	34	cc
34	jistota	NOUN	30	conj
35	,	PUNCT	40	punct
36	které	DET	40	nsubj
37	mě	PRON	40	obj
38	hned	ADV	40	advmod
39	"	PUNCT	40	punct
40	dostaly	VERB	30	acl:relcl
41	"	PUNCT	40	punct
42	.	PUNCT	8	punct