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:
En la sesión de ayer también declaró el arquitecto Angel Fariños, que en 1987 remodeló el Palacio de la Cumbre de San Sebastián.
Postion	Tokenization
1	En
2	la
3	sesión
4	de
5	ayer
6	también
7	declaró
8	el
9	arquitecto
10	Angel
11	Fariños
12	,
13	que
14	en
15	1987
16	remodeló
17	el
18	Palacio
19	de
20	la
21	Cumbre
22	de
23	San
24	Sebastián
25	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	sesión	NOUN	7	obl
4	de	ADP	5	case
5	ayer	ADV	3	advmod
6	también	ADV	7	advmod
7	declaró	VERB	0	root
8	el	DET	9	det
9	arquitecto	NOUN	7	nsubj
10	Angel	PROPN	9	appos
11	Fariños	PROPN	10	flat
12	,	PUNCT	16	punct
13	que	PRON	16	nsubj
14	en	ADP	15	case
15	1987	NOUN	16	obl
16	remodeló	VERB	9	acl
17	el	DET	18	det
18	Palacio	PROPN	16	obj
19	de	ADP	21	case
20	la	DET	21	det
21	Cumbre	PROPN	18	flat
22	de	ADP	23	case
23	San	PROPN	18	flat
24	Sebastián	PROPN	23	flat
25	.	PUNCT	7	punct