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:
2. We really liked the fact that Stuart sets defined objectives and we meet once a month to go over our Key Performance Indicators.
Postion	Tokenization
1	2
2	.
3	We
4	really
5	liked
6	the
7	fact
8	that
9	Stuart
10	sets
11	defined
12	objectives
13	and
14	we
15	meet
16	once
17	a
18	month
19	to
20	go
21	over
22	our
23	Key
24	Performance
25	Indicators
26	.
Position	Tokenization	UPOS	Head	Deprel
1	2	X	5	nummod
2	.	PUNCT	1	punct
3	We	PRON	5	nsubj
4	really	ADV	5	advmod
5	liked	VERB	0	root
6	the	DET	7	det
7	fact	NOUN	5	obj
8	that	SCONJ	10	mark
9	Stuart	PROPN	10	nsubj
10	sets	VERB	7	acl
11	defined	VERB	12	amod
12	objectives	NOUN	10	obj
13	and	CCONJ	15	cc
14	we	PRON	15	nsubj
15	meet	VERB	5	conj
16	once	ADV	15	advmod
17	a	DET	18	det
18	month	NOUN	16	obl:npmod
19	to	PART	20	mark
20	go	VERB	15	advcl
21	over	ADP	25	case
22	our	PRON	25	nmod:poss
23	Key	ADJ	25	amod
24	Performance	NOUN	25	compound
25	Indicators	NOUN	20	obl
26	.	PUNCT	5	punct