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: Lidí s inteligencí nad 130 se vyskytuje okolo dvou procent (těch pod IQ 70 je o něco více, patří sem i ti, kteří tuto vlohu nemají vrozenou, ale získali ji později následkem nemoci nebo úrazu).
Position	Tokenization	UPOS	Head	Deprel
1	Lidí	NOUN	10	nmod
2	s	ADP	3	case
3	inteligencí	NOUN	1	nmod
4	nad	ADP	5	case
5	130	NUM	3	nummod
6	se	PRON	7	expl:pv
7	vyskytuje	VERB	0	root
8	okolo	ADP	10	case
9	dvou	NUM	10	nummod:gov
10	procent	NOUN	7	nsubj
11	(	PUNCT	16	punct
12	těch	DET	19	det
13	pod	ADP	14	case
14	IQ	NOUN	12	nmod
15	70	NUM	14	nummod
16	je	VERB	7	parataxis
17	o	ADP	18	case
18	něco	PRON	19	obl
19	více	ADV	16	nsubj
20	,	PUNCT	21	punct
21	patří	VERB	16	conj
22	sem	ADV	21	advmod
23	i	CCONJ	24	advmod:emph
24	ti	DET	21	nsubj
25	,	PUNCT	29	punct
26	kteří	DET	29	nsubj
27	tuto	DET	28	det
28	vlohu	NOUN	29	obj
29	nemají	VERB	24	acl:relcl
30	vrozenou	ADJ	28	xcomp
31	,	PUNCT	33	punct
32	ale	CCONJ	33	cc
33	získali	VERB	29	conj
34	ji	PRON	33	obj
35	později	ADV	33	advmod
36	následkem	NOUN	37	case
37	nemoci	NOUN	33	obl
38	nebo	CCONJ	39	cc
39	úrazu	NOUN	37	conj
40	)	PUNCT	16	punct
41	.	PUNCT	7	punct