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:
Según Chirac, los europeos "tienen el deber de actuar" frente a "la barbarie de las autoridades serbias", indicó su portavoz, Catherine Colonna.
Postion	Tokenization
1	Según
2	Chirac
3	,
4	los
5	europeos
6	"
7	tienen
8	el
9	deber
10	de
11	actuar
12	"
13	frente
14	a
15	"
16	la
17	barbarie
18	de
19	las
20	autoridades
21	serbias
22	"
23	,
24	indicó
25	su
26	portavoz
27	,
28	Catherine
29	Colonna
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Chirac	PROPN	7	obl
3	,	PUNCT	2	punct
4	los	DET	5	det
5	europeos	NOUN	7	nsubj
6	"	PUNCT	7	punct
7	tienen	VERB	24	ccomp
8	el	DET	9	det
9	deber	NOUN	7	obj
10	de	ADP	11	mark
11	actuar	VERB	9	acl
12	"	PUNCT	11	punct
13	frente	NOUN	17	case
14	a	ADP	13	fixed
15	"	PUNCT	17	punct
16	la	DET	17	det
17	barbarie	NOUN	11	obl
18	de	ADP	20	case
19	las	DET	20	det
20	autoridades	NOUN	17	nmod
21	serbias	ADJ	20	amod
22	"	PUNCT	17	punct
23	,	PUNCT	7	punct
24	indicó	VERB	0	root
25	su	DET	26	det
26	portavoz	NOUN	24	nsubj
27	,	PUNCT	28	punct
28	Catherine	PROPN	26	appos
29	Colonna	PROPN	28	flat
30	.	PUNCT	24	punct