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:
Její snaha porozumět a pomáhat prostým lidem měla až religiózní rozměr, avšak zcela laický, od sebe oproštěný, a přitom naplňující celý její život.
Postion	Tokenization
1	Její
2	snaha
3	porozumět
4	a
5	pomáhat
6	prostým
7	lidem
8	měla
9	až
10	religiózní
11	rozměr
12	,
13	avšak
14	zcela
15	laický
16	,
17	od
18	sebe
19	oproštěný
20	,
21	a
22	přitom
23	naplňující
24	celý
25	její
26	život
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Její	DET	2	det
2	snaha	NOUN	8	nsubj
3	porozumět	VERB	2	acl
4	a	CCONJ	5	cc
5	pomáhat	VERB	3	conj
6	prostým	ADJ	7	amod
7	lidem	NOUN	3	obl:arg
8	měla	VERB	0	root
9	až	PART	10	advmod:emph
10	religiózní	ADJ	11	amod
11	rozměr	NOUN	8	obj
12	,	PUNCT	15	punct
13	avšak	CCONJ	15	cc
14	zcela	ADV	15	advmod
15	laický	ADJ	10	conj
16	,	PUNCT	19	punct
17	od	ADP	18	case
18	sebe	PRON	19	obl:arg
19	oproštěný	ADJ	15	conj
20	,	PUNCT	23	punct
21	a	CCONJ	23	cc
22	přitom	ADV	23	advmod
23	naplňující	ADJ	15	conj
24	celý	ADJ	26	amod
25	její	DET	26	det
26	život	NOUN	23	obj
27	.	PUNCT	8	punct