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:
The new TW Hotline was implemented Monday which included customer notification in the form of a Popup message in TMS and a Critical Notice which sent an Email.
Postion	Tokenization
1	The
2	new
3	TW
4	Hotline
5	was
6	implemented
7	Monday
8	which
9	included
10	customer
11	notification
12	in
13	the
14	form
15	of
16	a
17	Popup
18	message
19	in
20	TMS
21	and
22	a
23	Critical
24	Notice
25	which
26	sent
27	an
28	Email
29	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	4	det
2	new	ADJ	4	amod
3	TW	PROPN	4	compound
4	Hotline	NOUN	6	nsubj:pass
5	was	AUX	6	aux:pass
6	implemented	VERB	0	root
7	Monday	PROPN	6	obl:tmod
8	which	PRON	9	nsubj
9	included	VERB	6	parataxis
10	customer	NOUN	11	compound
11	notification	NOUN	9	obj
12	in	ADP	14	case
13	the	DET	14	det
14	form	NOUN	9	obl
15	of	ADP	18	case
16	a	DET	18	det
17	Popup	NOUN	18	compound
18	message	NOUN	14	nmod
19	in	ADP	20	case
20	TMS	NOUN	18	nmod
21	and	CCONJ	24	cc
22	a	DET	24	det
23	Critical	ADJ	24	amod
24	Notice	NOUN	18	conj
25	which	PRON	26	nsubj
26	sent	VERB	24	acl:relcl
27	an	DET	28	det
28	Email	NOUN	26	obj
29	.	PUNCT	6	punct