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:
Another time I'll segueway into all the fun work related instances where "Mommies" get out of doing work and hiding behind childcare as the reason.
Postion	Tokenization
1	Another
2	time
3	I'll
4	I
5	'll
6	segueway
7	into
8	all
9	the
10	fun
11	work
12	related
13	instances
14	where
15	"
16	Mommies
17	"
18	get
19	out
20	of
21	doing
22	work
23	and
24	hiding
25	behind
26	childcare
27	as
28	the
29	reason
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Another	DET	2	det
2	time	NOUN	5	obl:tmod
3	I'll	_	None	_
4	I	PRON	5	nsubj
5	'll	AUX	5	aux
6	segueway	VERB	0	root
7	into	ADP	12	case
8	all	DET	12	det:predet
9	the	DET	12	det
10	fun	ADJ	12	amod
11	work	NOUN	11	compound
12	related	ADJ	12	amod
13	instances	NOUN	5	obl
14	where	SCONJ	17	mark
15	"	PUNCT	15	punct
16	Mommies	NOUN	17	nsubj
17	"	PUNCT	15	punct
18	get	VERB	5	advcl
19	out	ADP	20	mark
20	of	SCONJ	20	mark
21	doing	VERB	17	obl
22	work	NOUN	20	obj
23	and	CCONJ	23	cc
24	hiding	VERB	17	conj
25	behind	ADP	25	case
26	childcare	NOUN	23	obl
27	as	ADP	28	case
28	the	DET	28	det
29	reason	NOUN	23	obl
30	.	PUNCT	5	punct