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 ese sentido, el ex presidente uruguayo y portavoz de la delegación del Centro Carter, Luis Alberto Lacalle, calificó de "muy positiva" la decisión del CNE de autorizar una auditoría externa del proceso.
Postion	Tokenization
1	En
2	ese
3	sentido
4	,
5	el
6	ex
7	presidente
8	uruguayo
9	y
10	portavoz
11	de
12	la
13	delegación
14	del
15	Centro
16	Carter
17	,
18	Luis
19	Alberto
20	Lacalle
21	,
22	calificó
23	de
24	"
25	muy
26	positiva
27	"
28	la
29	decisión
30	del
31	CNE
32	de
33	autorizar
34	una
35	auditoría
36	externa
37	del
38	proceso
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	ese	DET	3	det
3	sentido	NOUN	22	obl
4	,	PUNCT	3	punct
5	el	DET	7	det
6	ex	ADJ	7	amod
7	presidente	NOUN	22	nsubj
8	uruguayo	ADJ	7	amod
9	y	CCONJ	10	cc
10	portavoz	NOUN	7	conj
11	de	ADP	13	case
12	la	DET	13	det
13	delegación	NOUN	10	nmod
14	del	ADP	15	case
15	Centro	PROPN	13	nmod
16	Carter	PROPN	15	flat
17	,	PUNCT	18	punct
18	Luis	PROPN	7	appos
19	Alberto	PROPN	18	flat
20	Lacalle	PROPN	18	flat
21	,	PUNCT	18	punct
22	calificó	VERB	0	root
23	de	ADP	26	case
24	"	PUNCT	26	punct
25	muy	ADV	26	advmod
26	positiva	ADJ	22	obj
27	"	PUNCT	26	punct
28	la	DET	29	det
29	decisión	NOUN	22	obj
30	del	ADP	31	case
31	CNE	PROPN	29	nmod
32	de	ADP	33	mark
33	autorizar	VERB	29	acl
34	una	DET	35	det
35	auditoría	NOUN	33	obj
36	externa	ADJ	35	amod
37	del	ADP	38	case
38	proceso	NOUN	35	nmod
39	.	PUNCT	22	punct