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:
La actriz, en una entrevista concedida a este diario el pasado martes en Barcelona, mostraba su satisfacción por haber rodado esta película con un director que había manifestado que sin ella no habría sido posible la película.
Postion	Tokenization
1	La
2	actriz
3	,
4	en
5	una
6	entrevista
7	concedida
8	a
9	este
10	diario
11	el
12	pasado
13	martes
14	en
15	Barcelona
16	,
17	mostraba
18	su
19	satisfacción
20	por
21	haber
22	rodado
23	esta
24	película
25	con
26	un
27	director
28	que
29	había
30	manifestado
31	que
32	sin
33	ella
34	no
35	habría
36	sido
37	posible
38	la
39	película
40	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	actriz	NOUN	17	nsubj
3	,	PUNCT	6	punct
4	en	ADP	6	case
5	una	DET	6	det
6	entrevista	NOUN	17	obl
7	concedida	ADJ	6	amod
8	a	ADP	10	case
9	este	DET	10	det
10	diario	NOUN	7	obj
11	el	DET	13	det
12	pasado	ADJ	13	amod
13	martes	NOUN	7	obl
14	en	ADP	15	case
15	Barcelona	PROPN	7	obl
16	,	PUNCT	6	punct
17	mostraba	VERB	0	root
18	su	DET	19	det
19	satisfacción	NOUN	17	obj
20	por	ADP	22	mark
21	haber	AUX	22	aux
22	rodado	VERB	19	acl
23	esta	DET	24	det
24	película	NOUN	22	obj
25	con	ADP	27	case
26	un	DET	27	det
27	director	NOUN	22	obl
28	que	PRON	30	nsubj
29	había	AUX	30	aux
30	manifestado	VERB	27	acl
31	que	SCONJ	37	mark
32	sin	ADP	33	case
33	ella	PRON	37	obl
34	no	ADV	37	advmod
35	habría	AUX	37	aux
36	sido	AUX	37	cop
37	posible	ADJ	30	ccomp
38	la	DET	39	det
39	película	NOUN	37	nsubj
40	.	PUNCT	17	punct