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:
Almodóvar adelantó ayer que volverá a rodar a Barcelona: "Es una ciudad que me da suerte y, de la misma forma que estoy seguro de que en mis próximos proyectos estará Antonio Banderas, también estoy seguro de que volveré con mis cámaras allí.
Postion	Tokenization
1	Almodóvar
2	adelantó
3	ayer
4	que
5	volverá
6	a
7	rodar
8	a
9	Barcelona
10	:
11	"
12	Es
13	una
14	ciudad
15	que
16	me
17	da
18	suerte
19	y
20	,
21	de
22	la
23	misma
24	forma
25	que
26	estoy
27	seguro
28	de
29	que
30	en
31	mis
32	próximos
33	proyectos
34	estará
35	Antonio
36	Banderas
37	,
38	también
39	estoy
40	seguro
41	de
42	que
43	volveré
44	con
45	mis
46	cámaras
47	allí
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Almodóvar	PROPN	2	nsubj
2	adelantó	VERB	0	root
3	ayer	ADV	2	advmod
4	que	SCONJ	5	mark
5	volverá	VERB	2	ccomp
6	a	ADP	7	mark
7	rodar	VERB	5	xcomp
8	a	ADP	9	case
9	Barcelona	PROPN	5	obl
10	:	PUNCT	14	punct
11	"	PUNCT	14	punct
12	Es	AUX	14	cop
13	una	DET	14	det
14	ciudad	NOUN	2	advcl
15	que	PRON	17	nsubj
16	me	PRON	17	iobj
17	da	VERB	14	acl
18	suerte	NOUN	17	obj
19	y	CCONJ	40	cc
20	,	PUNCT	24	punct
21	de	ADP	24	case
22	la	DET	24	det
23	misma	DET	22	det
24	forma	NOUN	40	obl
25	que	SCONJ	27	mark
26	estoy	AUX	27	cop
27	seguro	ADJ	24	acl
28	de	ADP	34	mark
29	que	SCONJ	34	mark
30	en	ADP	33	case
31	mis	DET	33	det
32	próximos	ADJ	33	amod
33	proyectos	NOUN	34	obl
34	estará	VERB	27	acl
35	Antonio	PROPN	34	nsubj
36	Banderas	PROPN	35	flat
37	,	PUNCT	24	punct
38	también	ADV	40	advmod
39	estoy	AUX	40	cop
40	seguro	ADJ	14	conj
41	de	ADP	43	mark
42	que	SCONJ	43	mark
43	volveré	VERB	40	acl
44	con	ADP	46	case
45	mis	DET	46	det
46	cámaras	NOUN	43	obl
47	allí	ADV	43	advmod
48	.	PUNCT	2	punct