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 carretera supondrá una importante mejora de las comunicaciones en la zona del Cadí ya que enlazará el Alt Urgell con el Berguedà y también con el Solsonès.
Postion	Tokenization
1	La
2	carretera
3	supondrá
4	una
5	importante
6	mejora
7	de
8	las
9	comunicaciones
10	en
11	la
12	zona
13	del
14	Cadí
15	ya
16	que
17	enlazará
18	el
19	Alt
20	Urgell
21	con
22	el
23	Berguedà
24	y
25	también
26	con
27	el
28	Solsonès
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	carretera	NOUN	3	nsubj
3	supondrá	VERB	0	root
4	una	DET	6	det
5	importante	ADJ	6	amod
6	mejora	NOUN	3	obj
7	de	ADP	9	case
8	las	DET	9	det
9	comunicaciones	NOUN	6	nmod
10	en	ADP	12	case
11	la	DET	12	det
12	zona	NOUN	3	obl
13	del	ADP	14	case
14	Cadí	PROPN	12	nmod
15	ya	ADV	17	mark
16	que	SCONJ	15	fixed
17	enlazará	VERB	3	advcl
18	el	DET	19	det
19	Alt	PROPN	17	obj
20	Urgell	PROPN	19	flat
21	con	ADP	23	case
22	el	DET	23	det
23	Berguedà	PROPN	17	obl
24	y	CCONJ	25	cc
25	también	ADV	23	conj
26	con	ADP	25	case
27	el	DET	28	det
28	Solsonès	PROPN	25	nmod
29	.	PUNCT	3	punct