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: Citlivost kůže lidské k světlu, která již za obyčejných poměrů jest značná, zvětšuje se u mnohých lidí pathologickým způsobem tou měrou, že druhdy již rozptýlené světlo denní způsobuje zánět kůže.
Position	Tokenization	UPOS	Head	Deprel
1	Citlivost	NOUN	15	nsubj
2	kůže	NOUN	1	nmod
3	lidské	ADJ	2	amod
4	k	ADP	5	case
5	světlu	NOUN	1	nmod
6	,	PUNCT	13	punct
7	která	DET	13	nsubj
8	již	ADV	11	advmod:emph
9	za	ADP	11	case
10	obyčejných	ADJ	11	amod
11	poměrů	NOUN	13	obl
12	jest	AUX	13	cop
13	značná	ADJ	1	acl:relcl
14	,	PUNCT	13	punct
15	zvětšuje	VERB	0	root
16	se	PRON	15	expl:pv
17	u	ADP	19	case
18	mnohých	ADJ	19	amod
19	lidí	NOUN	15	obl
20	pathologickým	ADJ	21	amod
21	způsobem	NOUN	15	obl
22	tou	DET	23	det
23	měrou	NOUN	15	obl
24	,	PUNCT	31	punct
25	že	SCONJ	31	mark
26	druhdy	ADV	31	advmod
27	již	ADV	29	advmod:emph
28	rozptýlené	ADJ	29	amod
29	světlo	NOUN	31	nsubj
30	denní	ADJ	29	amod
31	způsobuje	VERB	23	acl
32	zánět	NOUN	31	obj
33	kůže	NOUN	32	nmod
34	.	PUNCT	15	punct