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:
We are running so full tilt on TW that we may not have as much flexibiltiy to manage this situation as we expected, but let me know what we can do.
Postion	Tokenization
1	We
2	are
3	running
4	so
5	full
6	tilt
7	on
8	TW
9	that
10	we
11	may
12	not
13	have
14	as
15	much
16	flexibiltiy
17	to
18	manage
19	this
20	situation
21	as
22	we
23	expected
24	,
25	but
26	let
27	me
28	know
29	what
30	we
31	can
32	do
33	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	are	AUX	3	aux
3	running	VERB	0	root
4	so	ADV	6	advmod
5	full	ADV	6	advmod
6	tilt	ADV	3	advmod
7	on	ADP	8	case
8	TW	PROPN	3	obl
9	that	SCONJ	13	mark
10	we	PRON	13	nsubj
11	may	AUX	13	aux
12	not	PART	13	advmod
13	have	VERB	3	ccomp
14	as	ADV	15	advmod
15	much	ADJ	16	amod
16	flexibiltiy	NOUN	13	obj
17	to	PART	18	mark
18	manage	VERB	16	acl
19	this	DET	20	det
20	situation	NOUN	18	obj
21	as	SCONJ	23	mark
22	we	PRON	23	nsubj
23	expected	VERB	14	advcl
24	,	PUNCT	26	punct
25	but	CCONJ	26	cc
26	let	VERB	3	conj
27	me	PRON	26	obj
28	know	VERB	26	xcomp
29	what	PRON	32	obj
30	we	PRON	32	nsubj
31	can	AUX	32	aux
32	do	VERB	28	ccomp
33	.	PUNCT	3	punct