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:
Al mediodía y a las órdenes del coronel Dieter Szola, el equipo de vuelo acrobático "Team 2000" hizo una exhibición sobre la cúspide del Gerlitze, a la que poco después se sumó un parapente a motor que arrastraba una enorme pancarta con el texto "El FPOE de Klagenfurt (capital de Carintia) felicita a Joerg".
Postion	Tokenization
1	Al
2	mediodía
3	y
4	a
5	las
6	órdenes
7	del
8	coronel
9	Dieter
10	Szola
11	,
12	el
13	equipo
14	de
15	vuelo
16	acrobático
17	"
18	Team
19	2000
20	"
21	hizo
22	una
23	exhibición
24	sobre
25	la
26	cúspide
27	del
28	Gerlitze
29	,
30	a
31	la
32	que
33	poco
34	después
35	se
36	sumó
37	un
38	parapente
39	a
40	motor
41	que
42	arrastraba
43	una
44	enorme
45	pancarta
46	con
47	el
48	texto
49	"
50	El
51	FPOE
52	de
53	Klagenfurt
54	(capital
55	de
56	Carintia)
57	felicita
58	a
59	Joerg
60	"
61	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	case
2	mediodía	NOUN	21	obl
3	y	CCONJ	6	cc
4	a	ADP	6	case
5	las	DET	6	det
6	órdenes	NOUN	2	conj
7	del	ADP	8	case
8	coronel	NOUN	6	nmod
9	Dieter	PROPN	8	appos
10	Szola	PROPN	9	flat
11	,	PUNCT	2	punct
12	el	DET	13	det
13	equipo	NOUN	21	nsubj
14	de	ADP	15	case
15	vuelo	NOUN	13	nmod
16	acrobático	ADJ	15	amod
17	"	PUNCT	18	punct
18	Team	PROPN	13	appos
19	2000	NUM	18	nummod
20	"	PUNCT	18	punct
21	hizo	VERB	0	root
22	una	DET	23	det
23	exhibición	NOUN	21	obj
24	sobre	ADP	26	case
25	la	DET	26	det
26	cúspide	NOUN	21	obl
27	del	ADP	28	case
28	Gerlitze	PROPN	26	nmod
29	,	PUNCT	36	punct
30	a	ADP	32	case
31	la	DET	32	det
32	que	PRON	36	obl
33	poco	ADV	34	advmod
34	después	ADV	36	advmod
35	se	PRON	36	expl:pv
36	sumó	VERB	21	advcl
37	un	DET	38	det
38	parapente	NOUN	36	nsubj
39	a	ADP	40	case
40	motor	NOUN	38	nmod
41	que	PRON	42	nsubj
42	arrastraba	VERB	38	acl
43	una	DET	45	det
44	enorme	ADJ	45	amod
45	pancarta	NOUN	42	obj
46	con	ADP	48	case
47	el	DET	48	det
48	texto	NOUN	45	nmod
49	"	PUNCT	50	punct
50	El	DET	51	det
51	FPOE	PROPN	48	appos
52	de	ADP	53	case
53	Klagenfurt	PROPN	50	flat
54	(capital	PROPN	53	flat
55	de	ADP	56	case
56	Carintia)	PROPN	53	flat
57	felicita	PROPN	53	flat
58	a	ADP	59	case
59	Joerg	PROPN	53	flat
60	"	PUNCT	53	punct
61	.	PUNCT	21	punct