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:
While we anticipate many new Analysts joining Enron this summer (late May) and fulltime (August) we felt it necessary to address some of the immediate needs with an Off-Cycle Recruiting event.
Postion	Tokenization
1	While
2	we
3	anticipate
4	many
5	new
6	Analysts
7	joining
8	Enron
9	this
10	summer
11	(
12	late
13	May
14	)
15	and
16	fulltime
17	(
18	August
19	)
20	we
21	felt
22	it
23	necessary
24	to
25	address
26	some
27	of
28	the
29	immediate
30	needs
31	with
32	an
33	Off
34	-
35	Cycle
36	Recruiting
37	event
38	.
Position	Tokenization	UPOS	Head	Deprel
1	While	SCONJ	3	mark
2	we	PRON	3	nsubj
3	anticipate	VERB	21	advcl
4	many	ADJ	6	amod
5	new	ADJ	6	amod
6	Analysts	NOUN	3	obj
7	joining	VERB	6	acl
8	Enron	PROPN	7	obj
9	this	DET	10	det
10	summer	NOUN	7	obl:tmod
11	(	PUNCT	13	punct
12	late	ADJ	13	amod
13	May	PROPN	10	appos
14	)	PUNCT	13	punct
15	and	CCONJ	16	cc
16	fulltime	ADV	10	conj
17	(	PUNCT	18	punct
18	August	PROPN	16	obl:tmod
19	)	PUNCT	18	punct
20	we	PRON	21	nsubj
21	felt	VERB	0	root
22	it	PRON	21	expl
23	necessary	ADJ	21	xcomp
24	to	PART	25	mark
25	address	VERB	21	ccomp
26	some	DET	25	obj
27	of	ADP	30	case
28	the	DET	30	det
29	immediate	ADJ	30	amod
30	needs	NOUN	26	nmod
31	with	ADP	37	case
32	an	DET	37	det
33	Off	ADP	35	case
34	-	PUNCT	35	punct
35	Cycle	NOUN	37	compound
36	Recruiting	NOUN	37	compound
37	event	NOUN	30	nmod
38	.	PUNCT	21	punct