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 milicianos que viven en ciudades lo tienen más claro, porque seguirán haciendo lo mismo, manteniendo el orden en las calles pero de forma legal, con una cooperativa -, dice otro.
Postion	Tokenization
1	-
2	Los
3	milicianos
4	que
5	viven
6	en
7	ciudades
8	lo
9	tienen
10	más
11	claro
12	,
13	porque
14	seguirán
15	haciendo
16	lo
17	mismo
18	,
19	manteniendo
20	el
21	orden
22	en
23	las
24	calles
25	pero
26	de
27	forma
28	legal
29	,
30	con
31	una
32	cooperativa
33	-
34	,
35	dice
36	otro
37	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	9	punct
2	Los	DET	3	det
3	milicianos	NOUN	9	nsubj
4	que	PRON	5	nsubj
5	viven	VERB	3	acl
6	en	ADP	7	case
7	ciudades	NOUN	5	obl
8	lo	PRON	9	obj
9	tienen	VERB	35	ccomp
10	más	ADV	11	advmod
11	claro	ADJ	9	iobj
12	,	PUNCT	14	punct
13	porque	SCONJ	14	mark
14	seguirán	VERB	9	advcl
15	haciendo	VERB	14	xcomp
16	lo	PRON	17	det
17	mismo	PRON	15	obj
18	,	PUNCT	19	punct
19	manteniendo	VERB	15	advcl
20	el	DET	21	det
21	orden	NOUN	19	obj
22	en	ADP	24	case
23	las	DET	24	det
24	calles	NOUN	19	obl
25	pero	CCONJ	27	cc
26	de	ADP	27	case
27	forma	NOUN	24	conj
28	legal	ADJ	27	amod
29	,	PUNCT	32	punct
30	con	ADP	32	case
31	una	DET	32	det
32	cooperativa	NOUN	27	nmod
33	-	PUNCT	9	punct
34	,	PUNCT	35	punct
35	dice	VERB	0	root
36	otro	PRON	35	nsubj
37	.	PUNCT	35	punct