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:
Durante la primera fase, que costará 44 millones de pesetas, serán reparadas las cornisas y elementos decorativos de la fachada principal.
Postion	Tokenization
1	Durante
2	la
3	primera
4	fase
5	,
6	que
7	costará
8	44
9	millones
10	de
11	pesetas
12	,
13	serán
14	reparadas
15	las
16	cornisas
17	y
18	elementos
19	decorativos
20	de
21	la
22	fachada
23	principal
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	4	case
2	la	DET	4	det
3	primera	ADJ	4	amod
4	fase	NOUN	14	obl
5	,	PUNCT	7	punct
6	que	PRON	7	nsubj
7	costará	VERB	4	acl
8	44	NUM	9	nummod
9	millones	NOUN	7	obl
10	de	ADP	11	case
11	pesetas	NOUN	9	nmod
12	,	PUNCT	7	punct
13	serán	AUX	14	aux
14	reparadas	VERB	0	root
15	las	DET	16	det
16	cornisas	NOUN	14	nsubj
17	y	CCONJ	18	cc
18	elementos	NOUN	16	conj
19	decorativos	ADJ	18	amod
20	de	ADP	22	case
21	la	DET	22	det
22	fachada	NOUN	16	nmod
23	principal	ADJ	22	amod
24	.	PUNCT	14	punct