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:
Here is a thought: When the appartently cognitively functional take actions that seem senseless and incompetent, it is a most certain sign that they have ulterior or hidden motives.
Postion	Tokenization
1	Here
2	is
3	a
4	thought
5	:
6	When
7	the
8	appartently
9	cognitively
10	functional
11	take
12	actions
13	that
14	seem
15	senseless
16	and
17	incompetent
18	,
19	it
20	is
21	a
22	most
23	certain
24	sign
25	that
26	they
27	have
28	ulterior
29	or
30	hidden
31	motives
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Here	ADV	0	root
2	is	AUX	1	cop
3	a	DET	4	det
4	thought	NOUN	1	nsubj
5	:	PUNCT	1	punct
6	When	SCONJ	11	mark
7	the	DET	10	det
8	appartently	ADV	10	advmod
9	cognitively	ADV	10	advmod
10	functional	ADJ	11	nsubj
11	take	VERB	24	advcl
12	actions	NOUN	11	obj
13	that	PRON	14	nsubj
14	seem	VERB	12	acl:relcl
15	senseless	ADJ	14	xcomp
16	and	CCONJ	17	cc
17	incompetent	ADJ	15	conj
18	,	PUNCT	24	punct
19	it	PRON	24	nsubj
20	is	AUX	24	cop
21	a	DET	24	det
22	most	ADV	23	advmod
23	certain	ADJ	24	amod
24	sign	NOUN	1	parataxis
25	that	SCONJ	27	mark
26	they	PRON	27	nsubj
27	have	VERB	24	acl
28	ulterior	ADJ	31	amod
29	or	CCONJ	30	cc
30	hidden	ADJ	28	conj
31	motives	NOUN	27	obj
32	.	PUNCT	1	punct