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:
We're gearing up for our 2001/02 recruiting campaign and we think your experience will help us define what works best and what can be improved in our process.
Postion	Tokenization
1	We're
2	We
3	're
4	gearing
5	up
6	for
7	our
8	2001
9	/
10	02
11	recruiting
12	campaign
13	and
14	we
15	think
16	your
17	experience
18	will
19	help
20	us
21	define
22	what
23	works
24	best
25	and
26	what
27	can
28	be
29	improved
30	in
31	our
32	process
33	.
Position	Tokenization	UPOS	Head	Deprel
1	We're	_	None	_
2	We	PRON	3	nsubj
3	're	AUX	3	aux
4	gearing	VERB	0	root
5	up	ADP	3	compound:prt
6	for	ADP	11	case
7	our	PRON	11	nmod:poss
8	2001	NUM	9	nmod:tmod
9	/	PUNCT	9	punct
10	02	NUM	11	compound
11	recruiting	NOUN	11	compound
12	campaign	NOUN	3	obl
13	and	CCONJ	14	cc
14	we	PRON	14	nsubj
15	think	VERB	3	conj
16	your	PRON	16	nmod:poss
17	experience	NOUN	18	nsubj
18	will	AUX	18	aux
19	help	VERB	14	ccomp
20	us	PRON	18	obj
21	define	VERB	18	xcomp
22	what	PRON	22	nsubj
23	works	VERB	20	ccomp
24	best	ADV	22	advmod
25	and	CCONJ	28	cc
26	what	PRON	28	nsubj:pass
27	can	AUX	28	aux
28	be	AUX	28	aux:pass
29	improved	VERB	22	conj
30	in	ADP	31	case
31	our	PRON	31	nmod:poss
32	process	NOUN	28	obl
33	.	PUNCT	3	punct