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