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 editor de los semanarios "Profil" y "Trend", Christian Rainer, ganó hoy un proceso por haber señalado que Haider emplea términos nazis, mientras que la agencia de prensa austriaca APA puso hoy una denuncia en la que alega que el servicio de prensa del FPOE atenta contra el buen nombre de la empresa debido a que ésta ha informado de los rumores respecto al futuro político del populista.
Postion	Tokenization
1	El
2	editor
3	de
4	los
5	semanarios
6	"
7	Profil
8	"
9	y
10	"
11	Trend
12	"
13	,
14	Christian
15	Rainer
16	,
17	ganó
18	hoy
19	un
20	proceso
21	por
22	haber
23	señalado
24	que
25	Haider
26	emplea
27	términos
28	nazis
29	,
30	mientras
31	que
32	la
33	agencia
34	de
35	prensa
36	austriaca
37	APA
38	puso
39	hoy
40	una
41	denuncia
42	en
43	la
44	que
45	alega
46	que
47	el
48	servicio
49	de
50	prensa
51	del
52	FPOE
53	atenta
54	contra
55	el
56	buen
57	nombre
58	de
59	la
60	empresa
61	debido
62	a
63	que
64	ésta
65	ha
66	informado
67	de
68	los
69	rumores
70	respecto
71	al
72	futuro
73	político
74	del
75	populista
76	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	editor	NOUN	17	nsubj
3	de	ADP	5	case
4	los	DET	5	det
5	semanarios	NOUN	2	nmod
6	"	PUNCT	7	punct
7	Profil	PROPN	5	appos
8	"	PUNCT	11	punct
9	y	CCONJ	11	cc
10	"	PUNCT	11	punct
11	Trend	PROPN	7	conj
12	"	PUNCT	11	punct
13	,	PUNCT	14	punct
14	Christian	PROPN	2	appos
15	Rainer	PROPN	14	flat
16	,	PUNCT	14	punct
17	ganó	VERB	30	parataxis
18	hoy	ADV	17	advmod
19	un	DET	20	det
20	proceso	NOUN	17	obj
21	por	ADP	23	mark
22	haber	AUX	23	aux
23	señalado	VERB	17	advcl
24	que	SCONJ	26	mark
25	Haider	PROPN	26	nsubj
26	emplea	VERB	23	ccomp
27	términos	NOUN	26	obj
28	nazis	ADJ	27	amod
29	,	PUNCT	30	punct
30	mientras	CCONJ	0	root
31	que	SCONJ	30	fixed
32	la	DET	33	det
33	agencia	NOUN	38	nsubj
34	de	ADP	35	case
35	prensa	NOUN	33	nmod
36	austriaca	ADJ	33	amod
37	APA	PROPN	33	appos
38	puso	VERB	30	parataxis
39	hoy	ADV	38	advmod
40	una	DET	41	det
41	denuncia	NOUN	38	obj
42	en	ADP	44	case
43	la	DET	44	det
44	que	PRON	45	obl
45	alega	VERB	41	acl
46	que	SCONJ	53	mark
47	el	DET	48	det
48	servicio	NOUN	53	nsubj
49	de	ADP	50	case
50	prensa	NOUN	48	nmod
51	del	ADP	52	case
52	FPOE	PROPN	48	nmod
53	atenta	VERB	45	ccomp
54	contra	ADP	57	case
55	el	DET	57	det
56	buen	ADJ	57	amod
57	nombre	NOUN	53	iobj
58	de	ADP	60	case
59	la	DET	60	det
60	empresa	NOUN	57	nmod
61	debido	ADJ	53	advmod
62	a	ADP	66	mark
63	que	SCONJ	66	mark
64	ésta	PRON	66	nsubj
65	ha	AUX	66	aux
66	informado	VERB	53	ccomp
67	de	ADP	69	case
68	los	DET	69	det
69	rumores	NOUN	66	obj
70	respecto	NOUN	72	case
71	al	ADP	70	fixed
72	futuro	NOUN	69	nmod
73	político	ADJ	72	amod
74	del	ADP	75	case
75	populista	NOUN	72	nmod
76	.	PUNCT	30	punct