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:
Carmen Maura expresó anoche en San Sebastián su alegría por la concesión de la Concha de Plata como mejor actriz por su trabajo en La comunidad.
Postion	Tokenization
1	Carmen
2	Maura
3	expresó
4	anoche
5	en
6	San
7	Sebastián
8	su
9	alegría
10	por
11	la
12	concesión
13	de
14	la
15	Concha
16	de
17	Plata
18	como
19	mejor
20	actriz
21	por
22	su
23	trabajo
24	en
25	La
26	comunidad
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Carmen	PROPN	3	nsubj
2	Maura	PROPN	1	flat
3	expresó	VERB	0	root
4	anoche	ADV	3	advmod
5	en	ADP	6	case
6	San	PROPN	3	obl
7	Sebastián	PROPN	6	flat
8	su	DET	9	det
9	alegría	NOUN	3	obj
10	por	ADP	12	case
11	la	DET	12	det
12	concesión	NOUN	9	nmod
13	de	ADP	15	case
14	la	DET	15	det
15	Concha	PROPN	12	nmod
16	de	ADP	17	case
17	Plata	PROPN	15	flat
18	como	SCONJ	20	mark
19	mejor	ADJ	20	amod
20	actriz	NOUN	12	nmod
21	por	ADP	23	case
22	su	DET	23	det
23	trabajo	NOUN	12	nmod
24	en	ADP	26	case
25	La	DET	26	det
26	comunidad	PROPN	23	nmod
27	.	PUNCT	3	punct