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 getting my treatments for a few months now and have seen some results but not up to the standards that I was told I should expect.
Postion	Tokenization
1	I
2	have
3	been
4	getting
5	my
6	treatments
7	for
8	a
9	few
10	months
11	now
12	and
13	have
14	seen
15	some
16	results
17	but
18	not
19	up
20	to
21	the
22	standards
23	that
24	I
25	was
26	told
27	I
28	should
29	expect
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	have	AUX	4	aux
3	been	AUX	4	aux
4	getting	VERB	0	root
5	my	PRON	6	nmod:poss
6	treatments	NOUN	4	obj
7	for	ADP	10	case
8	a	DET	10	det
9	few	ADJ	10	amod
10	months	NOUN	4	obl
11	now	ADV	4	advmod
12	and	CCONJ	14	cc
13	have	AUX	14	aux
14	seen	VERB	4	conj
15	some	DET	16	det
16	results	NOUN	14	obj
17	but	CCONJ	22	cc
18	not	ADV	22	advmod
19	up	ADP	22	case
20	to	ADP	19	fixed
21	the	DET	22	det
22	standards	NOUN	16	conj
23	that	PRON	26	obj
24	I	PRON	26	nsubj:pass
25	was	AUX	26	aux:pass
26	told	VERB	22	acl:relcl
27	I	PRON	29	nsubj
28	should	AUX	29	aux
29	expect	VERB	26	ccomp
30	.	PUNCT	4	punct