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:
They pride themselves on being an event and team building company for corporate clients but you better believe they are going to mark you up on that feel good premise.
Postion	Tokenization
1	They
2	pride
3	themselves
4	on
5	being
6	an
7	event
8	and
9	team
10	building
11	company
12	for
13	corporate
14	clients
15	but
16	you
17	better
18	believe
19	they
20	are
21	going
22	to
23	mark
24	you
25	up
26	on
27	that
28	feel
29	good
30	premise
31	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	2	nsubj
2	pride	VERB	0	root
3	themselves	PRON	2	obj
4	on	SCONJ	11	mark
5	being	AUX	11	cop
6	an	DET	11	det
7	event	NOUN	11	compound
8	and	CCONJ	10	cc
9	team	NOUN	10	compound
10	building	NOUN	7	conj
11	company	NOUN	2	advcl
12	for	ADP	14	case
13	corporate	ADJ	14	amod
14	clients	NOUN	11	nmod
15	but	CCONJ	18	cc
16	you	PRON	18	nsubj
17	better	ADV	18	aux
18	believe	VERB	2	conj
19	they	PRON	21	nsubj
20	are	AUX	21	aux
21	going	VERB	18	ccomp
22	to	PART	23	mark
23	mark	VERB	21	xcomp
24	you	PRON	23	obj
25	up	ADP	23	compound:prt
26	on	ADP	30	case
27	that	DET	30	det
28	feel	VERB	30	compound
29	good	ADJ	28	xcomp
30	premise	NOUN	23	obl
31	.	PUNCT	2	punct