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:
Surgery visit timings were always made to suit me and not them and they gave me the feeling that I mattered and was important to them.
Postion	Tokenization
1	Surgery
2	visit
3	timings
4	were
5	always
6	made
7	to
8	suit
9	me
10	and
11	not
12	them
13	and
14	they
15	gave
16	me
17	the
18	feeling
19	that
20	I
21	mattered
22	and
23	was
24	important
25	to
26	them
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Surgery	NOUN	2	compound
2	visit	NOUN	3	compound
3	timings	NOUN	6	nsubj:pass
4	were	AUX	6	aux:pass
5	always	ADV	6	advmod
6	made	VERB	0	root
7	to	PART	8	mark
8	suit	VERB	6	xcomp
9	me	PRON	8	obj
10	and	CCONJ	11	cc
11	not	ADV	12	cc
12	them	PRON	9	conj
13	and	CCONJ	15	cc
14	they	PRON	15	nsubj
15	gave	VERB	6	conj
16	me	PRON	15	iobj
17	the	DET	18	det
18	feeling	NOUN	15	obj
19	that	SCONJ	21	mark
20	I	PRON	21	nsubj
21	mattered	VERB	18	acl
22	and	CCONJ	24	cc
23	was	AUX	24	cop
24	important	ADJ	21	conj
25	to	ADP	26	case
26	them	PRON	24	obl
27	.	PUNCT	6	punct