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:
Also, please let me know, by email, the names and contact information of other managers within Enron who might benefit from having someone with my qualifications in their group.
Postion	Tokenization
1	Also
2	,
3	please
4	let
5	me
6	know
7	,
8	by
9	email
10	,
11	the
12	names
13	and
14	contact
15	information
16	of
17	other
18	managers
19	within
20	Enron
21	who
22	might
23	benefit
24	from
25	having
26	someone
27	with
28	my
29	qualifications
30	in
31	their
32	group
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Also	ADV	4	advmod
2	,	PUNCT	4	punct
3	please	INTJ	4	discourse
4	let	VERB	0	root
5	me	PRON	4	obj
6	know	VERB	4	xcomp
7	,	PUNCT	6	punct
8	by	ADP	9	case
9	email	NOUN	6	obl
10	,	PUNCT	6	punct
11	the	DET	12	det
12	names	NOUN	6	obj
13	and	CCONJ	15	cc
14	contact	NOUN	15	compound
15	information	NOUN	12	conj
16	of	ADP	18	case
17	other	ADJ	18	amod
18	managers	NOUN	12	nmod
19	within	ADP	20	case
20	Enron	PROPN	18	nmod
21	who	PRON	23	nsubj
22	might	AUX	23	aux
23	benefit	VERB	18	acl:relcl
24	from	SCONJ	25	mark
25	having	VERB	23	advcl
26	someone	PRON	25	obj
27	with	ADP	29	case
28	my	PRON	29	nmod:poss
29	qualifications	NOUN	26	nmod
30	in	ADP	32	case
31	their	PRON	32	nmod:poss
32	group	NOUN	26	nmod
33	.	PUNCT	4	punct