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 have been suffering from back pain for over 12 years and have been to numerous specialists, physios, osteos and chiros with no help.
Postion	Tokenization
1	I
2	have
3	been
4	suffering
5	from
6	back
7	pain
8	for
9	over
10	12
11	years
12	and
13	have
14	been
15	to
16	numerous
17	specialists
18	,
19	physios
20	,
21	osteos
22	and
23	chiros
24	with
25	no
26	help
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	have	AUX	4	aux
3	been	AUX	4	aux
4	suffering	VERB	0	root
5	from	ADP	7	case
6	back	NOUN	7	compound
7	pain	NOUN	4	obl
8	for	ADP	11	case
9	over	ADV	10	advmod
10	12	NUM	11	nummod
11	years	NOUN	4	obl
12	and	CCONJ	17	cc
13	have	AUX	17	aux
14	been	AUX	17	cop
15	to	ADP	17	case
16	numerous	ADJ	17	amod
17	specialists	NOUN	4	conj
18	,	PUNCT	19	punct
19	physios	NOUN	17	conj
20	,	PUNCT	21	punct
21	osteos	NOUN	17	conj
22	and	CCONJ	23	cc
23	chiros	NOUN	17	conj
24	with	ADP	26	case
25	no	DET	26	det
26	help	NOUN	17	obl
27	.	PUNCT	4	punct