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:
Posteriormente, en opinión de Ruocco, "vendrá la necesidad de vender, porque las empresas de Argentina van a salir a competir duramente con las uruguayas en los otros mercados internacionales".
Postion	Tokenization
1	Posteriormente
2	,
3	en
4	opinión
5	de
6	Ruocco
7	,
8	"
9	vendrá
10	la
11	necesidad
12	de
13	vender
14	,
15	porque
16	las
17	empresas
18	de
19	Argentina
20	van
21	a
22	salir
23	a
24	competir
25	duramente
26	con
27	las
28	uruguayas
29	en
30	los
31	otros
32	mercados
33	internacionales
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Posteriormente	ADV	9	advmod
2	,	PUNCT	4	punct
3	en	ADP	4	case
4	opinión	NOUN	9	obl
5	de	ADP	6	case
6	Ruocco	PROPN	4	nmod
7	,	PUNCT	4	punct
8	"	PUNCT	9	punct
9	vendrá	VERB	0	root
10	la	DET	11	det
11	necesidad	NOUN	9	nsubj
12	de	ADP	13	mark
13	vender	VERB	11	acl
14	,	PUNCT	22	punct
15	porque	SCONJ	22	mark
16	las	DET	17	det
17	empresas	NOUN	22	nsubj
18	de	ADP	19	case
19	Argentina	PROPN	17	nmod
20	van	AUX	22	aux
21	a	ADP	22	mark
22	salir	VERB	9	advcl
23	a	ADP	24	mark
24	competir	VERB	22	advcl
25	duramente	ADV	24	advmod
26	con	ADP	28	case
27	las	DET	28	det
28	uruguayas	NOUN	24	obj
29	en	ADP	32	case
30	los	DET	32	det
31	otros	DET	30	det
32	mercados	NOUN	24	obl
33	internacionales	ADJ	32	amod
34	"	PUNCT	9	punct
35	.	PUNCT	9	punct