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:
En su anterior informe en noviembre pasado, la OCDE auguraba una progresión de la economía del 2,9 por ciento para este ejercicio y del 2,6 por ciento para el próximo.
Postion	Tokenization
1	En
2	su
3	anterior
4	informe
5	en
6	noviembre
7	pasado
8	,
9	la
10	OCDE
11	auguraba
12	una
13	progresión
14	de
15	la
16	economía
17	del
18	2,9
19	por
20	ciento
21	para
22	este
23	ejercicio
24	y
25	del
26	2,6
27	por
28	ciento
29	para
30	el
31	próximo
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	su	DET	4	det
3	anterior	ADJ	4	amod
4	informe	NOUN	11	obl
5	en	ADP	6	case
6	noviembre	NOUN	4	nmod
7	pasado	ADJ	6	amod
8	,	PUNCT	4	punct
9	la	DET	10	det
10	OCDE	PROPN	11	nsubj
11	auguraba	VERB	0	root
12	una	DET	13	det
13	progresión	NOUN	11	obj
14	de	ADP	16	case
15	la	DET	16	det
16	economía	NOUN	13	nmod
17	del	ADP	18	case
18	2,9	NUM	13	nummod
19	por	ADP	20	case
20	ciento	NUM	18	compound
21	para	ADP	23	case
22	este	DET	23	det
23	ejercicio	NOUN	18	nmod
24	y	CCONJ	26	cc
25	del	ADP	26	case
26	2,6	NUM	18	conj
27	por	ADP	28	case
28	ciento	NUM	26	compound
29	para	ADP	31	case
30	el	DET	31	det
31	próximo	ADJ	26	amod
32	.	PUNCT	11	punct