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:
Ruocco opinó que "un corte económico del tamaño que está irritando a Argentina debe ser muy necesario para ellos", pero consideró que a Uruguay lo va a afectar porque ese país entrará en un período recesivo.
Postion	Tokenization
1	Ruocco
2	opinó
3	que
4	"
5	un
6	corte
7	económico
8	del
9	tamaño
10	que
11	está
12	irritando
13	a
14	Argentina
15	debe
16	ser
17	muy
18	necesario
19	para
20	ellos
21	"
22	,
23	pero
24	consideró
25	que
26	a
27	Uruguay
28	lo
29	va
30	a
31	afectar
32	porque
33	ese
34	país
35	entrará
36	en
37	un
38	período
39	recesivo
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Ruocco	PROPN	2	nsubj
2	opinó	VERB	0	root
3	que	SCONJ	18	mark
4	"	PUNCT	18	punct
5	un	DET	6	det
6	corte	NOUN	18	nsubj
7	económico	ADJ	6	amod
8	del	ADP	9	case
9	tamaño	NOUN	6	nmod
10	que	PRON	12	nsubj
11	está	AUX	12	aux
12	irritando	VERB	6	acl
13	a	ADP	14	case
14	Argentina	PROPN	12	obj
15	debe	AUX	18	aux
16	ser	AUX	18	cop
17	muy	ADV	18	advmod
18	necesario	ADJ	2	xcomp
19	para	ADP	20	case
20	ellos	PRON	18	nmod
21	"	PUNCT	18	punct
22	,	PUNCT	24	punct
23	pero	CCONJ	24	cc
24	consideró	VERB	2	conj
25	que	SCONJ	31	mark
26	a	ADP	27	case
27	Uruguay	PROPN	31	iobj
28	lo	PRON	31	obj
29	va	AUX	31	aux
30	a	ADP	31	mark
31	afectar	VERB	24	xcomp
32	porque	SCONJ	35	mark
33	ese	DET	34	det
34	país	NOUN	35	nsubj
35	entrará	VERB	31	advcl
36	en	ADP	38	case
37	un	DET	38	det
38	período	NOUN	35	obl
39	recesivo	ADJ	38	amod
40	.	PUNCT	2	punct