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:
Terrades ejerce de adjunto en la Secretaría de Política Local del PSC y, siguiendo la línea marcada en el último congreso de los socialistas catalanes, ha preferido "no acumular cargos".
Postion	Tokenization
1	Terrades
2	ejerce
3	de
4	adjunto
5	en
6	la
7	Secretaría
8	de
9	Política
10	Local
11	del
12	PSC
13	y
14	,
15	siguiendo
16	la
17	línea
18	marcada
19	en
20	el
21	último
22	congreso
23	de
24	los
25	socialistas
26	catalanes
27	,
28	ha
29	preferido
30	"
31	no
32	acumular
33	cargos
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Terrades	PROPN	2	nsubj
2	ejerce	VERB	0	root
3	de	ADP	4	case
4	adjunto	NOUN	2	obj
5	en	ADP	7	case
6	la	DET	7	det
7	Secretaría	PROPN	2	obl
8	de	ADP	9	case
9	Política	PROPN	7	flat
10	Local	PROPN	9	flat
11	del	ADP	12	case
12	PSC	PROPN	7	nmod
13	y	CCONJ	29	cc
14	,	PUNCT	15	punct
15	siguiendo	VERB	29	advcl
16	la	DET	17	det
17	línea	NOUN	15	obj
18	marcada	ADJ	17	amod
19	en	ADP	22	case
20	el	DET	22	det
21	último	ADJ	22	amod
22	congreso	NOUN	18	obl
23	de	ADP	25	case
24	los	DET	25	det
25	socialistas	NOUN	22	nmod
26	catalanes	ADJ	25	amod
27	,	PUNCT	15	punct
28	ha	AUX	29	aux
29	preferido	VERB	2	conj
30	"	PUNCT	32	punct
31	no	ADV	32	advmod
32	acumular	VERB	29	xcomp
33	cargos	NOUN	32	obj
34	"	PUNCT	32	punct
35	.	PUNCT	2	punct