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:
Seth provides deep tissue massage which has significantly reduced the pain in my neck and shoulders and added flexibility and movement back to the area.
Postion	Tokenization
1	Seth
2	provides
3	deep
4	tissue
5	massage
6	which
7	has
8	significantly
9	reduced
10	the
11	pain
12	in
13	my
14	neck
15	and
16	shoulders
17	and
18	added
19	flexibility
20	and
21	movement
22	back
23	to
24	the
25	area
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Seth	PROPN	2	nsubj
2	provides	VERB	0	root
3	deep	ADJ	5	amod
4	tissue	NOUN	5	compound
5	massage	NOUN	2	obj
6	which	PRON	9	nsubj
7	has	AUX	9	aux
8	significantly	ADV	9	advmod
9	reduced	VERB	5	acl:relcl
10	the	DET	11	det
11	pain	NOUN	9	obj
12	in	ADP	14	case
13	my	PRON	14	nmod:poss
14	neck	NOUN	11	nmod
15	and	CCONJ	16	cc
16	shoulders	NOUN	14	conj
17	and	CCONJ	18	cc
18	added	VERB	9	conj
19	flexibility	NOUN	18	obj
20	and	CCONJ	21	cc
21	movement	NOUN	19	conj
22	back	ADV	18	advmod
23	to	ADP	25	case
24	the	DET	25	det
25	area	NOUN	22	obl
26	.	PUNCT	2	punct