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:
She has not only helped me through some challenging computer-work and sports related injuries, she was wonderful to work with throughout my pregnancy and beyond.
Postion	Tokenization
1	She
2	has
3	not
4	only
5	helped
6	me
7	through
8	some
9	challenging
10	computer
11	-
12	work
13	and
14	sports
15	related
16	injuries
17	,
18	she
19	was
20	wonderful
21	to
22	work
23	with
24	throughout
25	my
26	pregnancy
27	and
28	beyond
29	.
Position	Tokenization	UPOS	Head	Deprel
1	She	PRON	5	nsubj
2	has	AUX	5	aux
3	not	ADV	4	advmod
4	only	ADV	5	cc:preconj
5	helped	VERB	0	root
6	me	PRON	5	obj
7	through	ADP	16	case
8	some	DET	16	det
9	challenging	ADJ	16	amod
10	computer	NOUN	12	compound
11	-	PUNCT	12	punct
12	work	NOUN	15	compound
13	and	CCONJ	14	cc
14	sports	NOUN	12	conj
15	related	VERB	16	amod
16	injuries	NOUN	5	obl
17	,	PUNCT	20	punct
18	she	PRON	20	nsubj
19	was	AUX	20	cop
20	wonderful	ADJ	5	conj
21	to	PART	22	mark
22	work	VERB	20	advcl
23	with	ADP	22	obl
24	throughout	ADP	26	case
25	my	PRON	26	nmod:poss
26	pregnancy	NOUN	22	obl
27	and	CCONJ	28	cc
28	beyond	ADV	26	conj
29	.	PUNCT	5	punct