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 Generalitat ha adjudicado los trabajos a la empresa Obras y Contratas Javier Guinovart SA, que realizará el nuevo acceso de 15 kilómetros de longitud en un plazo de 11 meses.
Postion	Tokenization
1	La
2	Generalitat
3	ha
4	adjudicado
5	los
6	trabajos
7	a
8	la
9	empresa
10	Obras
11	y
12	Contratas
13	Javier
14	Guinovart
15	SA
16	,
17	que
18	realizará
19	el
20	nuevo
21	acceso
22	de
23	15
24	kilómetros
25	de
26	longitud
27	en
28	un
29	plazo
30	de
31	11
32	meses
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Generalitat	PROPN	4	nsubj
3	ha	AUX	4	aux
4	adjudicado	VERB	0	root
5	los	DET	6	det
6	trabajos	NOUN	4	obj
7	a	ADP	9	case
8	la	DET	9	det
9	empresa	NOUN	4	obj
10	Obras	PROPN	9	appos
11	y	CCONJ	12	cc
12	Contratas	PROPN	10	conj
13	Javier	PROPN	12	flat
14	Guinovart	PROPN	12	flat
15	SA	PROPN	12	flat
16	,	PUNCT	18	punct
17	que	PRON	18	nsubj
18	realizará	VERB	9	acl
19	el	DET	21	det
20	nuevo	ADJ	21	amod
21	acceso	NOUN	18	obj
22	de	ADP	24	case
23	15	NUM	24	nummod
24	kilómetros	NOUN	21	nmod
25	de	ADP	26	case
26	longitud	NOUN	24	nmod
27	en	ADP	29	case
28	un	DET	29	det
29	plazo	NOUN	18	obl
30	de	ADP	32	case
31	11	NUM	32	nummod
32	meses	NOUN	29	nmod
33	.	PUNCT	4	punct