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:
"Inhibitory systems are essential for controlling the pattern of activity in the cortex, which has important implications for the mechanisms of cortical operation, according to a Yale School of Medicine study in Neuron....
Postion	Tokenization
1	"
2	Inhibitory
3	systems
4	are
5	essential
6	for
7	controlling
8	the
9	pattern
10	of
11	activity
12	in
13	the
14	cortex
15	,
16	which
17	has
18	important
19	implications
20	for
21	the
22	mechanisms
23	of
24	cortical
25	operation
26	,
27	according
28	to
29	a
30	Yale
31	School
32	of
33	Medicine
34	study
35	in
36	Neuron
37	....
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Inhibitory	ADJ	3	amod
3	systems	NOUN	5	nsubj
4	are	AUX	5	cop
5	essential	ADJ	0	root
6	for	SCONJ	7	mark
7	controlling	VERB	5	advcl
8	the	DET	9	det
9	pattern	NOUN	7	obj
10	of	ADP	11	case
11	activity	NOUN	9	nmod
12	in	ADP	14	case
13	the	DET	14	det
14	cortex	NOUN	9	nmod
15	,	PUNCT	9	punct
16	which	PRON	17	nsubj
17	has	VERB	9	acl:relcl
18	important	ADJ	19	amod
19	implications	NOUN	17	obj
20	for	ADP	22	case
21	the	DET	22	det
22	mechanisms	NOUN	19	nmod
23	of	ADP	25	case
24	cortical	ADJ	25	amod
25	operation	NOUN	22	nmod
26	,	PUNCT	5	punct
27	according	VERB	34	case
28	to	ADP	27	fixed
29	a	DET	34	det
30	Yale	PROPN	31	compound
31	School	PROPN	34	compound
32	of	ADP	33	case
33	Medicine	PROPN	31	nmod
34	study	NOUN	5	obl
35	in	ADP	36	case
36	Neuron	PROPN	34	nmod
37	....	PUNCT	5	punct