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:
I found her through a colleague one day when one of my clients was in the midst of a panic attack and needed professional help that I am not qualified to provide.
Postion	Tokenization
1	I
2	found
3	her
4	through
5	a
6	colleague
7	one
8	day
9	when
10	one
11	of
12	my
13	clients
14	was
15	in
16	the
17	midst
18	of
19	a
20	panic
21	attack
22	and
23	needed
24	professional
25	help
26	that
27	I
28	am
29	not
30	qualified
31	to
32	provide
33	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	found	VERB	0	root
3	her	PRON	2	obj
4	through	ADP	6	case
5	a	DET	6	det
6	colleague	NOUN	2	obl
7	one	NUM	8	nummod
8	day	NOUN	2	obl:tmod
9	when	SCONJ	17	mark
10	one	NUM	17	nsubj
11	of	ADP	13	case
12	my	PRON	13	nmod:poss
13	clients	NOUN	10	nmod
14	was	AUX	17	cop
15	in	ADP	17	case
16	the	DET	17	det
17	midst	NOUN	2	advcl
18	of	ADP	21	case
19	a	DET	21	det
20	panic	NOUN	21	compound
21	attack	NOUN	17	nmod
22	and	CCONJ	23	cc
23	needed	VERB	17	conj
24	professional	ADJ	25	amod
25	help	NOUN	23	obj
26	that	PRON	30	obj
27	I	PRON	30	nsubj
28	am	AUX	30	cop
29	not	PART	30	advmod
30	qualified	ADJ	25	acl:relcl
31	to	PART	32	mark
32	provide	VERB	30	advcl
33	.	PUNCT	2	punct