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:
Los funcionarios municipales, sobre todo los que, como él, pertenecían a una gran ciudad donde las empresas de servicios son más de las necesarias, no tienen por qué viajar.
Postion	Tokenization
1	Los
2	funcionarios
3	municipales
4	,
5	sobre
6	todo
7	los
8	que
9	,
10	como
11	él
12	,
13	pertenecían
14	a
15	una
16	gran
17	ciudad
18	donde
19	las
20	empresas
21	de
22	servicios
23	son
24	más
25	de
26	las
27	necesarias
28	,
29	no
30	tienen
31	por
32	qué
33	viajar
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	funcionarios	NOUN	30	nsubj
3	municipales	ADJ	2	amod
4	,	PUNCT	13	punct
5	sobre	ADP	13	advmod
6	todo	PRON	5	fixed
7	los	DET	13	det
8	que	PRON	13	nsubj
9	,	PUNCT	11	punct
10	como	ADP	11	case
11	él	PRON	13	obl
12	,	PUNCT	11	punct
13	pertenecían	VERB	2	appos
14	a	ADP	17	case
15	una	DET	17	det
16	gran	ADJ	17	amod
17	ciudad	NOUN	13	obj
18	donde	PRON	24	obl
19	las	DET	20	det
20	empresas	NOUN	24	nsubj
21	de	ADP	22	case
22	servicios	NOUN	20	nmod
23	son	AUX	24	cop
24	más	ADV	17	acl
25	de	ADP	27	case
26	las	DET	27	det
27	necesarias	ADJ	24	advmod
28	,	PUNCT	13	punct
29	no	ADV	30	advmod
30	tienen	VERB	0	root
31	por	ADP	32	case
32	qué	PRON	33	obl
33	viajar	VERB	30	xcomp
34	.	PUNCT	30	punct