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 text: They work on Wall Street, after all, so when they hear a company who's stated goals include "Don't be evil," they imagine a company who's eventually history will be "Don't be profitable."
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	2	nsubj
2	work	VERB	0	root
3	on	ADP	5	case
4	Wall	PROPN	5	compound
5	Street	PROPN	2	obl
6	,	PUNCT	2	punct
7	after	ADV	8	case
8	all	ADV	2	obl
9	,	PUNCT	2	punct
10	so	ADV	28	advmod
11	when	SCONJ	13	mark
12	they	PRON	13	nsubj
13	hear	VERB	28	advcl
14	a	DET	15	det
15	company	NOUN	13	obj
16	who's	PRON	18	nmod:poss
17	stated	VERB	18	amod
18	goals	NOUN	19	nsubj
19	include	VERB	15	acl:relcl
20	"	PUNCT	24	punct
21	Do	AUX	24	aux
22	n't	PART	24	advmod
23	be	AUX	24	cop
24	evil	ADJ	19	ccomp
25	,	PUNCT	13	punct
26	"	PUNCT	13	punct
27	they	PRON	28	nsubj
28	imagine	VERB	2	parataxis
29	a	DET	30	det
30	company	NOUN	28	obj
31	who's	PRON	33	nmod:poss
32	eventually	ADJ	33	amod
33	history	NOUN	35	nsubj
34	will	AUX	35	aux
35	be	VERB	30	acl:relcl
36	"	PUNCT	40	punct
37	Do	AUX	40	aux
38	n't	PART	40	advmod
39	be	AUX	40	cop
40	profitable	ADJ	35	ccomp
41	.	PUNCT	2	punct
42	"	PUNCT	2	punct