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:
Secondly, he will still out price performers that you have in the same job group that are excellent and strong performers respectively eg. Paul Thomas, Jason Choate, Todd DeCook and Peter Makkai.
Postion	Tokenization
1	Secondly
2	,
3	he
4	will
5	still
6	out
7	price
8	performers
9	that
10	you
11	have
12	in
13	the
14	same
15	job
16	group
17	that
18	are
19	excellent
20	and
21	strong
22	performers
23	respectively
24	eg.
25	Paul
26	Thomas
27	,
28	Jason
29	Choate
30	,
31	Todd
32	DeCook
33	and
34	Peter
35	Makkai
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Secondly	ADV	7	advmod
2	,	PUNCT	7	punct
3	he	PRON	7	nsubj
4	will	AUX	7	aux
5	still	ADV	7	advmod
6	out	X	7	advmod
7	price	VERB	0	root
8	performers	NOUN	7	obj
9	that	PRON	11	obj
10	you	PRON	11	nsubj
11	have	VERB	8	acl:relcl
12	in	ADP	16	case
13	the	DET	16	det
14	same	ADJ	16	amod
15	job	NOUN	16	compound
16	group	NOUN	11	obl
17	that	PRON	22	nsubj
18	are	AUX	22	cop
19	excellent	ADJ	22	amod
20	and	CCONJ	21	cc
21	strong	ADJ	19	conj
22	performers	NOUN	8	acl:relcl
23	respectively	ADV	22	advmod
24	eg.	X	25	advmod
25	Paul	PROPN	8	appos
26	Thomas	PROPN	25	flat
27	,	PUNCT	28	punct
28	Jason	PROPN	25	conj
29	Choate	PROPN	28	flat
30	,	PUNCT	31	punct
31	Todd	PROPN	25	conj
32	DeCook	PROPN	31	flat
33	and	CCONJ	34	cc
34	Peter	PROPN	25	conj
35	Makkai	PROPN	34	flat
36	.	PUNCT	7	punct