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:
In the medium case, investigations find that Enron (like others) "played by the rules," but the rules stunk, and Enron profited at the expense of California consumers.
Postion	Tokenization
1	In
2	the
3	medium
4	case
5	,
6	investigations
7	find
8	that
9	Enron
10	(
11	like
12	others
13	)
14	"
15	played
16	by
17	the
18	rules
19	,
20	"
21	but
22	the
23	rules
24	stunk
25	,
26	and
27	Enron
28	profited
29	at
30	the
31	expense
32	of
33	California
34	consumers
35	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	4	case
2	the	DET	4	det
3	medium	ADJ	4	amod
4	case	NOUN	7	obl
5	,	PUNCT	7	punct
6	investigations	NOUN	7	nsubj
7	find	VERB	0	root
8	that	SCONJ	15	mark
9	Enron	PROPN	15	nsubj
10	(	PUNCT	15	punct
11	like	ADP	12	case
12	others	NOUN	15	obl
13	)	PUNCT	15	punct
14	"	PUNCT	15	punct
15	played	VERB	7	ccomp
16	by	ADP	18	case
17	the	DET	18	det
18	rules	NOUN	15	obl
19	,	PUNCT	15	punct
20	"	PUNCT	15	punct
21	but	CCONJ	24	cc
22	the	DET	23	det
23	rules	NOUN	24	nsubj
24	stunk	VERB	15	conj
25	,	PUNCT	28	punct
26	and	CCONJ	28	cc
27	Enron	PROPN	28	nsubj
28	profited	VERB	24	conj
29	at	ADP	31	case
30	the	DET	31	det
31	expense	NOUN	28	obl
32	of	ADP	34	case
33	California	PROPN	34	compound
34	consumers	NOUN	31	nmod
35	.	PUNCT	7	punct