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:
De hecho, así funcionan las cinco cámaras que ya ha instalado el Servei Català de Trànsit (SCT) en algunos tramos de carreteras del área metropolitana de Barcelona.
Postion	Tokenization
1	De
2	hecho
3	,
4	así
5	funcionan
6	las
7	cinco
8	cámaras
9	que
10	ya
11	ha
12	instalado
13	el
14	Servei
15	Català
16	de
17	Trànsit
18	(
19	SCT
20	)
21	en
22	algunos
23	tramos
24	de
25	carreteras
26	del
27	área
28	metropolitana
29	de
30	Barcelona
31	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	5	advmod
2	hecho	NOUN	1	fixed
3	,	PUNCT	1	punct
4	así	ADV	5	advmod
5	funcionan	VERB	0	root
6	las	DET	8	det
7	cinco	NUM	6	nummod
8	cámaras	NOUN	5	nsubj
9	que	PRON	12	obj
10	ya	ADV	12	advmod
11	ha	AUX	12	aux
12	instalado	VERB	8	acl
13	el	DET	14	det
14	Servei	PROPN	12	nsubj
15	Català	PROPN	14	flat
16	de	ADP	17	case
17	Trànsit	PROPN	14	flat
18	(	PUNCT	19	punct
19	SCT	PROPN	14	flat
20	)	PUNCT	19	punct
21	en	ADP	23	case
22	algunos	DET	23	det
23	tramos	NOUN	12	obl
24	de	ADP	25	case
25	carreteras	NOUN	23	nmod
26	del	ADP	27	case
27	área	NOUN	23	nmod
28	metropolitana	ADJ	27	amod
29	de	ADP	30	case
30	Barcelona	PROPN	27	nmod
31	.	PUNCT	5	punct