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: Retikulární formace je název pro vývojově starý oblak neuronů táhnoucí se mozkovým kmenem - mozkový kmen je souhrnný název prodloužené míchy, Varolova mostu a středního mozku a připomíná stvol, na němž jsou "nasazeny" hemisféry.
Position	Tokenization	UPOS	Head	Deprel
1	Retikulární	ADJ	2	amod
2	formace	NOUN	4	nsubj
3	je	AUX	4	cop
4	název	NOUN	0	root
5	pro	ADP	8	case
6	vývojově	ADV	7	advmod
7	starý	ADJ	8	amod
8	oblak	NOUN	4	nmod
9	neuronů	NOUN	8	nmod
10	táhnoucí	ADJ	8	amod
11	se	PRON	10	expl:pv
12	mozkovým	ADJ	13	amod
13	kmenem	NOUN	10	obl
14	-	PUNCT	19	punct
15	mozkový	ADJ	16	amod
16	kmen	NOUN	19	nsubj
17	je	AUX	19	cop
18	souhrnný	ADJ	19	amod
19	název	NOUN	4	conj
20	prodloužené	ADJ	21	amod
21	míchy	NOUN	19	nmod
22	,	PUNCT	24	punct
23	Varolova	ADJ	24	amod
24	mostu	NOUN	21	appos
25	a	CCONJ	27	cc
26	středního	ADJ	27	amod
27	mozku	NOUN	24	conj
28	a	CCONJ	29	cc
29	připomíná	VERB	19	conj
30	stvol	NOUN	29	obj
31	,	PUNCT	36	punct
32	na	ADP	33	case
33	němž	PRON	36	obl
34	jsou	AUX	36	cop
35	"	PUNCT	36	punct
36	nasazeny	ADJ	30	acl:relcl
37	"	PUNCT	36	punct
38	hemisféry	NOUN	36	nsubj
39	.	PUNCT	4	punct