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:
Those who are not assigned an associate may also allocate points (a max of 150) at the meeting based on contribution to your areas for the first review period.
Postion	Tokenization
1	Those
2	who
3	are
4	not
5	assigned
6	an
7	associate
8	may
9	also
10	allocate
11	points
12	(
13	a
14	max
15	of
16	150
17	)
18	at
19	the
20	meeting
21	based
22	on
23	contribution
24	to
25	your
26	areas
27	for
28	the
29	first
30	review
31	period
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Those	PRON	10	nsubj
2	who	PRON	5	nsubj:pass
3	are	AUX	5	aux:pass
4	not	PART	5	advmod
5	assigned	VERB	1	acl:relcl
6	an	DET	7	det
7	associate	NOUN	5	obj
8	may	AUX	10	aux
9	also	ADV	10	advmod
10	allocate	VERB	0	root
11	points	NOUN	10	obj
12	(	PUNCT	11	punct
13	a	DET	14	det
14	max	NOUN	11	appos
15	of	ADP	16	case
16	150	NUM	14	nmod
17	)	PUNCT	11	punct
18	at	ADP	20	case
19	the	DET	20	det
20	meeting	NOUN	10	obl
21	based	VERB	23	case
22	on	ADP	23	case
23	contribution	NOUN	10	obl
24	to	ADP	26	case
25	your	PRON	26	nmod:poss
26	areas	NOUN	23	nmod
27	for	ADP	31	case
28	the	DET	31	det
29	first	ADJ	31	amod
30	review	NOUN	31	compound
31	period	NOUN	23	nmod
32	.	PUNCT	10	punct