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:
S hojící se sliznicí a s růstem obnovujících se střevních klků vlivem bezlepkové diety se zlepšuje i funkční schopnost sliznice a pacient může přijímat mléko a sladit řepným cukrem.
Postion	Tokenization
1	S
2	hojící
3	se
4	sliznicí
5	a
6	s
7	růstem
8	obnovujících
9	se
10	střevních
11	klků
12	vlivem
13	bezlepkové
14	diety
15	se
16	zlepšuje
17	i
18	funkční
19	schopnost
20	sliznice
21	a
22	pacient
23	může
24	přijímat
25	mléko
26	a
27	sladit
28	řepným
29	cukrem
30	.
Position	Tokenization	UPOS	Head	Deprel
1	S	ADP	4	case
2	hojící	ADJ	4	amod
3	se	PRON	2	expl:pv
4	sliznicí	NOUN	16	obl
5	a	CCONJ	7	cc
6	s	ADP	7	case
7	růstem	NOUN	4	conj
8	obnovujících	ADJ	11	amod
9	se	PRON	8	expl:pv
10	střevních	ADJ	11	amod
11	klků	NOUN	7	nmod
12	vlivem	NOUN	14	case
13	bezlepkové	ADJ	14	amod
14	diety	NOUN	7	nmod
15	se	PRON	16	expl:pv
16	zlepšuje	VERB	0	root
17	i	CCONJ	19	advmod:emph
18	funkční	ADJ	19	amod
19	schopnost	NOUN	16	nsubj
20	sliznice	NOUN	19	nmod
21	a	CCONJ	23	cc
22	pacient	NOUN	23	nsubj
23	může	VERB	16	conj
24	přijímat	VERB	23	xcomp
25	mléko	NOUN	24	obj
26	a	CCONJ	27	cc
27	sladit	VERB	24	conj
28	řepným	ADJ	29	amod
29	cukrem	NOUN	27	obl
30	.	PUNCT	16	punct