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:
Él va más allá: dice que hace "un servicio público", que la gente no tiene ni idea de economía cuando "se vive como quieren las empresas".
Postion	Tokenization
1	Él
2	va
3	más
4	allá
5	:
6	dice
7	que
8	hace
9	"
10	un
11	servicio
12	público
13	"
14	,
15	que
16	la
17	gente
18	no
19	tiene
20	ni
21	idea
22	de
23	economía
24	cuando
25	"
26	se
27	vive
28	como
29	quieren
30	las
31	empresas
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Él	PRON	2	nsubj
2	va	VERB	0	root
3	más	ADV	4	advmod
4	allá	ADV	2	advmod
5	:	PUNCT	6	punct
6	dice	VERB	2	advcl
7	que	SCONJ	8	mark
8	hace	VERB	6	ccomp
9	"	PUNCT	11	punct
10	un	DET	11	det
11	servicio	NOUN	8	obj
12	público	ADJ	11	amod
13	"	PUNCT	11	punct
14	,	PUNCT	8	punct
15	que	SCONJ	19	mark
16	la	DET	17	det
17	gente	NOUN	19	nsubj
18	no	ADV	19	advmod
19	tiene	VERB	8	advcl
20	ni	ADV	21	advmod
21	idea	NOUN	19	obj
22	de	ADP	23	case
23	economía	NOUN	21	nmod
24	cuando	SCONJ	27	mark
25	"	PUNCT	27	punct
26	se	PRON	27	expl:impers
27	vive	VERB	19	advcl
28	como	SCONJ	29	mark
29	quieren	VERB	27	advcl
30	las	DET	31	det
31	empresas	NOUN	29	nsubj
32	"	PUNCT	2	punct
33	.	PUNCT	2	punct