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:
A pesar de que el subdelegado del Gobierno en Ciudad Real, Jaime Lobo Asenjo, apuntó que la intensa lluvia pudo ser la causa del siniestro, los pasajeros responsabilizaron al conductor, que, sin embargo, fue calificado de "profesional experto" por el propietario del vehículo.
Postion	Tokenization
1	A
2	pesar
3	de
4	que
5	el
6	subdelegado
7	del
8	Gobierno
9	en
10	Ciudad
11	Real
12	,
13	Jaime
14	Lobo
15	Asenjo
16	,
17	apuntó
18	que
19	la
20	intensa
21	lluvia
22	pudo
23	ser
24	la
25	causa
26	del
27	siniestro
28	,
29	los
30	pasajeros
31	responsabilizaron
32	al
33	conductor
34	,
35	que
36	,
37	sin
38	embargo
39	,
40	fue
41	calificado
42	de
43	"
44	profesional
45	experto
46	"
47	por
48	el
49	propietario
50	del
51	vehículo
52	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	17	mark
2	pesar	NOUN	1	fixed
3	de	ADP	1	fixed
4	que	SCONJ	1	fixed
5	el	DET	6	det
6	subdelegado	NOUN	17	nsubj
7	del	ADP	8	case
8	Gobierno	PROPN	6	nmod
9	en	ADP	10	case
10	Ciudad	PROPN	6	nmod
11	Real	PROPN	10	flat
12	,	PUNCT	13	punct
13	Jaime	PROPN	6	appos
14	Lobo	PROPN	13	flat
15	Asenjo	PROPN	13	flat
16	,	PUNCT	13	punct
17	apuntó	VERB	31	advcl
18	que	SCONJ	25	mark
19	la	DET	21	det
20	intensa	ADJ	21	amod
21	lluvia	NOUN	25	nsubj
22	pudo	AUX	25	aux
23	ser	AUX	25	cop
24	la	DET	25	det
25	causa	NOUN	17	xcomp
26	del	ADP	27	case
27	siniestro	NOUN	25	nmod
28	,	PUNCT	17	punct
29	los	DET	30	det
30	pasajeros	NOUN	31	nsubj
31	responsabilizaron	VERB	0	root
32	al	ADP	33	case
33	conductor	NOUN	31	obj
34	,	PUNCT	41	punct
35	que	PRON	41	nsubj
36	,	PUNCT	37	punct
37	sin	ADP	41	advmod
38	embargo	NOUN	37	fixed
39	,	PUNCT	37	punct
40	fue	AUX	41	aux
41	calificado	VERB	33	acl
42	de	ADP	44	case
43	"	PUNCT	44	punct
44	profesional	NOUN	41	obj
45	experto	ADJ	44	amod
46	"	PUNCT	44	punct
47	por	ADP	49	case
48	el	DET	49	det
49	propietario	NOUN	41	obj
50	del	ADP	51	case
51	vehículo	NOUN	49	nmod
52	.	PUNCT	31	punct