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:
"Los procesos de privatización de grandes empresas estatales mediante ofertas públicas pueden dar un impulso al mercado bursátil y popularizar significativamente la inversión", afirmó el también ex presidente de la Comisión Nacional de Valores de España.
Postion	Tokenization
1	"
2	Los
3	procesos
4	de
5	privatización
6	de
7	grandes
8	empresas
9	estatales
10	mediante
11	ofertas
12	públicas
13	pueden
14	dar
15	un
16	impulso
17	al
18	mercado
19	bursátil
20	y
21	popularizar
22	significativamente
23	la
24	inversión
25	"
26	,
27	afirmó
28	el
29	también
30	ex
31	presidente
32	de
33	la
34	Comisión
35	Nacional
36	de
37	Valores
38	de
39	España
40	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	14	punct
2	Los	DET	3	det
3	procesos	NOUN	14	nsubj
4	de	ADP	5	case
5	privatización	NOUN	3	nmod
6	de	ADP	8	case
7	grandes	ADJ	8	amod
8	empresas	NOUN	5	nmod
9	estatales	ADJ	8	amod
10	mediante	ADP	11	case
11	ofertas	NOUN	5	nmod
12	públicas	ADJ	11	amod
13	pueden	AUX	14	aux
14	dar	VERB	27	xcomp
15	un	DET	16	det
16	impulso	NOUN	14	obj
17	al	ADP	18	case
18	mercado	NOUN	14	obj
19	bursátil	ADJ	18	amod
20	y	CCONJ	21	cc
21	popularizar	VERB	14	conj
22	significativamente	ADV	21	advmod
23	la	DET	24	det
24	inversión	NOUN	21	obj
25	"	PUNCT	14	punct
26	,	PUNCT	14	punct
27	afirmó	VERB	0	root
28	el	DET	31	det
29	también	ADV	31	advmod
30	ex	ADJ	31	amod
31	presidente	NOUN	27	nsubj
32	de	ADP	34	case
33	la	DET	34	det
34	Comisión	PROPN	31	nmod
35	Nacional	PROPN	34	flat
36	de	ADP	37	case
37	Valores	PROPN	34	flat
38	de	ADP	39	case
39	España	PROPN	34	nmod
40	.	PUNCT	27	punct