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:
HBS will shadow Enron and a number of other companies over the next five years to assess how we react to market changes and to see how we morph during this time period.
Postion	Tokenization
1	HBS
2	will
3	shadow
4	Enron
5	and
6	a
7	number
8	of
9	other
10	companies
11	over
12	the
13	next
14	five
15	years
16	to
17	assess
18	how
19	we
20	react
21	to
22	market
23	changes
24	and
25	to
26	see
27	how
28	we
29	morph
30	during
31	this
32	time
33	period
34	.
Position	Tokenization	UPOS	Head	Deprel
1	HBS	PROPN	3	nsubj
2	will	AUX	3	aux
3	shadow	VERB	0	root
4	Enron	PROPN	3	obj
5	and	CCONJ	7	cc
6	a	DET	7	det
7	number	NOUN	4	conj
8	of	ADP	10	case
9	other	ADJ	10	amod
10	companies	NOUN	7	nmod
11	over	ADP	15	case
12	the	DET	15	det
13	next	ADJ	15	amod
14	five	NUM	15	nummod
15	years	NOUN	3	obl
16	to	PART	17	mark
17	assess	VERB	3	advcl
18	how	SCONJ	20	mark
19	we	PRON	20	nsubj
20	react	VERB	17	ccomp
21	to	ADP	23	case
22	market	NOUN	23	compound
23	changes	NOUN	20	obl
24	and	CCONJ	26	cc
25	to	PART	26	mark
26	see	VERB	17	conj
27	how	SCONJ	29	mark
28	we	PRON	29	nsubj
29	morph	VERB	26	ccomp
30	during	ADP	33	case
31	this	DET	33	det
32	time	NOUN	33	compound
33	period	NOUN	29	obl
34	.	PUNCT	3	punct