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:
El experto en política exterior del Partido Socialdemócrata (SPD) Gernot Erler consideró "ilusoria" la propuesta de Lamers y además le acusó de intentar menoscabar las resoluciones de la ONU relativas al Kosovo.
Postion	Tokenization
1	El
2	experto
3	en
4	política
5	exterior
6	del
7	Partido
8	Socialdemócrata
9	(
10	SPD
11	)
12	Gernot
13	Erler
14	consideró
15	"
16	ilusoria
17	"
18	la
19	propuesta
20	de
21	Lamers
22	y
23	además
24	le
25	acusó
26	de
27	intentar
28	menoscabar
29	las
30	resoluciones
31	de
32	la
33	ONU
34	relativas
35	al
36	Kosovo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	experto	NOUN	14	nsubj
3	en	ADP	4	case
4	política	NOUN	2	nmod
5	exterior	ADJ	4	amod
6	del	ADP	7	case
7	Partido	PROPN	2	nmod
8	Socialdemócrata	PROPN	7	flat
9	(	PUNCT	10	punct
10	SPD	PROPN	7	flat
11	)	PUNCT	10	punct
12	Gernot	PROPN	2	appos
13	Erler	PROPN	12	flat
14	consideró	VERB	0	root
15	"	PUNCT	16	punct
16	ilusoria	ADJ	14	obj
17	"	PUNCT	16	punct
18	la	DET	19	det
19	propuesta	NOUN	14	obj
20	de	ADP	21	case
21	Lamers	PROPN	19	nmod
22	y	CCONJ	25	cc
23	además	ADV	25	advmod
24	le	PRON	25	iobj
25	acusó	VERB	14	conj
26	de	ADP	27	mark
27	intentar	VERB	25	xcomp
28	menoscabar	VERB	27	xcomp
29	las	DET	30	det
30	resoluciones	NOUN	28	obj
31	de	ADP	33	case
32	la	DET	33	det
33	ONU	PROPN	30	nmod
34	relativas	ADJ	30	amod
35	al	ADP	36	case
36	Kosovo	PROPN	34	nmod
37	.	PUNCT	14	punct