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:
Las obras de construcción están coordinadas por Foment de Ciutat Vella, que agrupa a los distintos sectores (vivienda, párking, recogida automática de basuras, mercados y arqueología) que intervienen en Santa Caterina.
Postion	Tokenization
1	Las
2	obras
3	de
4	construcción
5	están
6	coordinadas
7	por
8	Foment
9	de
10	Ciutat
11	Vella
12	,
13	que
14	agrupa
15	a
16	los
17	distintos
18	sectores
19	(
20	vivienda
21	,
22	párking
23	,
24	recogida
25	automática
26	de
27	basuras
28	,
29	mercados
30	y
31	arqueología
32	)
33	que
34	intervienen
35	en
36	Santa
37	Caterina
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	obras	NOUN	6	nsubj
3	de	ADP	4	case
4	construcción	NOUN	2	nmod
5	están	AUX	6	cop
6	coordinadas	ADJ	0	root
7	por	ADP	8	case
8	Foment	PROPN	6	obj
9	de	ADP	10	case
10	Ciutat	PROPN	8	flat
11	Vella	PROPN	10	flat
12	,	PUNCT	14	punct
13	que	PRON	14	nsubj
14	agrupa	VERB	8	acl
15	a	ADP	18	case
16	los	DET	18	det
17	distintos	DET	16	det
18	sectores	NOUN	14	obj
19	(	PUNCT	20	punct
20	vivienda	NOUN	18	appos
21	,	PUNCT	22	punct
22	párking	NOUN	20	conj
23	,	PUNCT	24	punct
24	recogida	NOUN	20	conj
25	automática	ADJ	24	amod
26	de	ADP	27	case
27	basuras	NOUN	24	nmod
28	,	PUNCT	29	punct
29	mercados	NOUN	20	conj
30	y	CCONJ	31	cc
31	arqueología	NOUN	20	conj
32	)	PUNCT	20	punct
33	que	PRON	34	nsubj
34	intervienen	VERB	18	acl
35	en	ADP	36	case
36	Santa	PROPN	34	obj
37	Caterina	PROPN	36	flat
38	.	PUNCT	6	punct