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:
Many people at Enron already have this type of chair, but we rarely, if ever, have a surplus because they are so popular.
Postion	Tokenization
1	Many
2	people
3	at
4	Enron
5	already
6	have
7	this
8	type
9	of
10	chair
11	,
12	but
13	we
14	rarely
15	,
16	if
17	ever
18	,
19	have
20	a
21	surplus
22	because
23	they
24	are
25	so
26	popular
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Many	ADJ	2	amod
2	people	NOUN	6	nsubj
3	at	ADP	4	case
4	Enron	PROPN	2	nmod
5	already	ADV	6	advmod
6	have	VERB	0	root
7	this	DET	8	det
8	type	NOUN	6	obj
9	of	ADP	10	case
10	chair	NOUN	8	nmod
11	,	PUNCT	19	punct
12	but	CCONJ	19	cc
13	we	PRON	19	nsubj
14	rarely	ADV	19	advmod
15	,	PUNCT	17	punct
16	if	SCONJ	17	mark
17	ever	ADV	14	advcl
18	,	PUNCT	17	punct
19	have	VERB	6	conj
20	a	DET	21	det
21	surplus	NOUN	19	obj
22	because	SCONJ	26	mark
23	they	PRON	26	nsubj
24	are	AUX	26	cop
25	so	ADV	26	advmod
26	popular	ADJ	19	advcl
27	.	PUNCT	6	punct