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:
That sounds like a BS excuse from ECS, but it that's what they are saying, let me know and we can figure out a solution.
Postion	Tokenization
1	That
2	sounds
3	like
4	a
5	BS
6	excuse
7	from
8	ECS
9	,
10	but
11	it
12	that's
13	that
14	's
15	what
16	they
17	are
18	saying
19	,
20	let
21	me
22	know
23	and
24	we
25	can
26	figure
27	out
28	a
29	solution
30	.
Position	Tokenization	UPOS	Head	Deprel
1	That	PRON	2	nsubj
2	sounds	VERB	0	root
3	like	ADP	6	case
4	a	DET	6	det
5	BS	NOUN	6	compound
6	excuse	NOUN	2	obl
7	from	ADP	8	case
8	ECS	PROPN	6	nmod
9	,	PUNCT	19	punct
10	but	CCONJ	19	cc
11	it	SCONJ	14	mark
12	that's	_	None	_
13	that	PRON	14	nsubj
14	's	AUX	14	cop
15	what	PRON	19	advcl
16	they	PRON	17	nsubj
17	are	AUX	17	aux
18	saying	VERB	14	acl:relcl
19	,	PUNCT	19	punct
20	let	VERB	2	conj
21	me	PRON	19	obj
22	know	VERB	19	xcomp
23	and	CCONJ	25	cc
24	we	PRON	25	nsubj
25	can	AUX	25	aux
26	figure	VERB	19	conj
27	out	ADP	25	compound:prt
28	a	DET	28	det
29	solution	NOUN	25	obj
30	.	PUNCT	2	punct