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 COI abrió ayer, por orden de su presidente, el belga Jacques Rogge, una investigación al descubrir, por casualidad, material médico para realizar transfusiones, bolsas vacías de sangre y restos de glucosa en una casa alquilada, en Soldier Hollow, muy cerca de Salt Lake City, por el equipo de fondo de la Federación Austriaca de Esquí durante la disputa de los recientes JJOO.
Postion	Tokenization
1	El
2	COI
3	abrió
4	ayer
5	,
6	por
7	orden
8	de
9	su
10	presidente
11	,
12	el
13	belga
14	Jacques
15	Rogge
16	,
17	una
18	investigación
19	al
20	descubrir
21	,
22	por
23	casualidad
24	,
25	material
26	médico
27	para
28	realizar
29	transfusiones
30	,
31	bolsas
32	vacías
33	de
34	sangre
35	y
36	restos
37	de
38	glucosa
39	en
40	una
41	casa
42	alquilada
43	,
44	en
45	Soldier
46	Hollow
47	,
48	muy
49	cerca
50	de
51	Salt
52	Lake
53	City
54	,
55	por
56	el
57	equipo
58	de
59	fondo
60	de
61	la
62	Federación
63	Austriaca
64	de
65	Esquí
66	durante
67	la
68	disputa
69	de
70	los
71	recientes
72	JJOO
73	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	COI	PROPN	3	nsubj
3	abrió	VERB	0	root
4	ayer	ADV	3	advmod
5	,	PUNCT	7	punct
6	por	ADP	7	case
7	orden	NOUN	3	obl
8	de	ADP	10	case
9	su	DET	10	det
10	presidente	NOUN	7	nmod
11	,	PUNCT	13	punct
12	el	DET	13	det
13	belga	NOUN	10	appos
14	Jacques	PROPN	13	appos
15	Rogge	PROPN	14	flat
16	,	PUNCT	13	punct
17	una	DET	18	det
18	investigación	NOUN	3	obj
19	al	ADP	20	mark
20	descubrir	VERB	3	advcl
21	,	PUNCT	22	punct
22	por	ADP	20	advmod
23	casualidad	NOUN	22	fixed
24	,	PUNCT	22	punct
25	material	NOUN	20	obj
26	médico	ADJ	25	amod
27	para	ADP	28	mark
28	realizar	VERB	25	acl
29	transfusiones	NOUN	28	obj
30	,	PUNCT	31	punct
31	bolsas	NOUN	25	conj
32	vacías	ADJ	31	amod
33	de	ADP	34	case
34	sangre	NOUN	31	nmod
35	y	CCONJ	36	cc
36	restos	NOUN	25	conj
37	de	ADP	38	case
38	glucosa	NOUN	36	nmod
39	en	ADP	41	case
40	una	DET	41	det
41	casa	NOUN	20	obl
42	alquilada	ADJ	41	amod
43	,	PUNCT	45	punct
44	en	ADP	45	case
45	Soldier	PROPN	42	obl
46	Hollow	PROPN	45	flat
47	,	PUNCT	49	punct
48	muy	ADV	49	advmod
49	cerca	ADV	45	advmod
50	de	ADP	51	case
51	Salt	PROPN	49	obl
52	Lake	PROPN	51	flat
53	City	PROPN	51	flat
54	,	PUNCT	49	punct
55	por	ADP	57	case
56	el	DET	57	det
57	equipo	NOUN	42	obj
58	de	ADP	59	case
59	fondo	NOUN	57	nmod
60	de	ADP	62	case
61	la	DET	62	det
62	Federación	PROPN	57	nmod
63	Austriaca	PROPN	62	flat
64	de	ADP	65	case
65	Esquí	PROPN	62	flat
66	durante	ADP	68	case
67	la	DET	68	det
68	disputa	NOUN	42	obl
69	de	ADP	72	case
70	los	DET	72	det
71	recientes	ADJ	72	amod
72	JJOO	PROPN	68	nmod
73	.	PUNCT	3	punct