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:
La juez de la Audiencia Nacional Teresa Palacios, instructora del caso KIO, ha ordenado a la policía y a la Guardia Civil que investigue los medios de vida con los que cuenta actualmente Javier de la Rosa.
Postion	Tokenization
1	La
2	juez
3	de
4	la
5	Audiencia
6	Nacional
7	Teresa
8	Palacios
9	,
10	instructora
11	del
12	caso
13	KIO
14	,
15	ha
16	ordenado
17	a
18	la
19	policía
20	y
21	a
22	la
23	Guardia
24	Civil
25	que
26	investigue
27	los
28	medios
29	de
30	vida
31	con
32	los
33	que
34	cuenta
35	actualmente
36	Javier
37	de
38	la
39	Rosa
40	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	juez	NOUN	16	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Audiencia	PROPN	2	nmod
6	Nacional	PROPN	5	flat
7	Teresa	PROPN	2	appos
8	Palacios	PROPN	7	flat
9	,	PUNCT	10	punct
10	instructora	NOUN	2	appos
11	del	ADP	12	case
12	caso	PROPN	10	nmod
13	KIO	PROPN	12	flat
14	,	PUNCT	10	punct
15	ha	AUX	16	aux
16	ordenado	VERB	0	root
17	a	ADP	19	case
18	la	DET	19	det
19	policía	NOUN	16	iobj
20	y	CCONJ	23	cc
21	a	ADP	23	case
22	la	DET	23	det
23	Guardia	PROPN	19	conj
24	Civil	PROPN	23	flat
25	que	SCONJ	26	mark
26	investigue	VERB	16	ccomp
27	los	DET	28	det
28	medios	NOUN	26	obj
29	de	ADP	30	case
30	vida	NOUN	28	nmod
31	con	ADP	33	case
32	los	DET	33	det
33	que	PRON	34	obj
34	cuenta	VERB	28	acl
35	actualmente	ADV	34	advmod
36	Javier	PROPN	34	nsubj
37	de	ADP	39	case
38	la	DET	39	det
39	Rosa	PROPN	36	flat
40	.	PUNCT	16	punct