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:
Una de las primeras misiones del centro será controlar con cámaras de circuito cerrado el tráfico en puntos conflictivos, tras lo cual se pondrán en marcha medidas para aliviar los atascos.
Postion	Tokenization
1	Una
2	de
3	las
4	primeras
5	misiones
6	del
7	centro
8	será
9	controlar
10	con
11	cámaras
12	de
13	circuito
14	cerrado
15	el
16	tráfico
17	en
18	puntos
19	conflictivos
20	,
21	tras
22	lo
23	cual
24	se
25	pondrán
26	en
27	marcha
28	medidas
29	para
30	aliviar
31	los
32	atascos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	PRON	8	nsubj
2	de	ADP	5	case
3	las	DET	5	det
4	primeras	ADJ	5	amod
5	misiones	NOUN	1	nmod
6	del	ADP	7	case
7	centro	NOUN	5	nmod
8	será	AUX	0	root
9	controlar	VERB	8	ccomp
10	con	ADP	11	case
11	cámaras	NOUN	9	obl
12	de	ADP	13	case
13	circuito	NOUN	11	nmod
14	cerrado	NOUN	13	compound
15	el	DET	16	det
16	tráfico	NOUN	9	obj
17	en	ADP	18	case
18	puntos	NOUN	9	obl
19	conflictivos	ADJ	18	amod
20	,	PUNCT	8	punct
21	tras	ADP	23	case
22	lo	PRON	23	det
23	cual	PRON	25	obl
24	se	PRON	25	expl:pass
25	pondrán	VERB	8	advcl
26	en	ADP	27	case
27	marcha	NOUN	25	compound
28	medidas	NOUN	25	nsubj
29	para	ADP	30	mark
30	aliviar	VERB	28	acl
31	los	DET	32	det
32	atascos	NOUN	30	obj
33	.	PUNCT	8	punct