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:
El Ayuntamiento de Almería, en colaboración con la Universidad, cuenta con un Centro Universitario Analítico Municipal (CUAM), primer centro de España en obtener el título ENAC de acreditación y certificación, realizó 10.000 análisis de multirresiduos durante la campaña y los mayores problemas se dieron con la bajada de los límites en metamidofos.
Postion	Tokenization
1	El
2	Ayuntamiento
3	de
4	Almería
5	,
6	en
7	colaboración
8	con
9	la
10	Universidad
11	,
12	cuenta
13	con
14	un
15	Centro
16	Universitario
17	Analítico
18	Municipal
19	(
20	CUAM
21	)
22	,
23	primer
24	centro
25	de
26	España
27	en
28	obtener
29	el
30	título
31	ENAC
32	de
33	acreditación
34	y
35	certificación
36	,
37	realizó
38	10.000
39	análisis
40	de
41	multirresiduos
42	durante
43	la
44	campaña
45	y
46	los
47	mayores
48	problemas
49	se
50	dieron
51	con
52	la
53	bajada
54	de
55	los
56	límites
57	en
58	metamidofos
59	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Ayuntamiento	PROPN	12	nsubj
3	de	ADP	4	case
4	Almería	PROPN	2	flat
5	,	PUNCT	10	punct
6	en	ADP	10	case
7	colaboración	NOUN	6	fixed
8	con	ADP	6	fixed
9	la	DET	10	det
10	Universidad	PROPN	2	nmod
11	,	PUNCT	10	punct
12	cuenta	VERB	0	root
13	con	ADP	15	case
14	un	DET	15	det
15	Centro	PROPN	12	obj
16	Universitario	PROPN	15	flat
17	Analítico	PROPN	15	flat
18	Municipal	PROPN	15	flat
19	(	PUNCT	20	punct
20	CUAM	PROPN	15	flat
21	)	PUNCT	20	punct
22	,	PUNCT	24	punct
23	primer	ADJ	24	amod
24	centro	NOUN	15	appos
25	de	ADP	26	case
26	España	PROPN	24	nmod
27	en	ADP	28	mark
28	obtener	VERB	24	acl
29	el	DET	30	det
30	título	NOUN	28	obj
31	ENAC	PROPN	30	appos
32	de	ADP	33	case
33	acreditación	NOUN	30	nmod
34	y	CCONJ	35	cc
35	certificación	NOUN	33	conj
36	,	PUNCT	37	punct
37	realizó	VERB	12	advcl
38	10.000	NUM	39	nummod
39	análisis	NOUN	37	obj
40	de	ADP	41	case
41	multirresiduos	NOUN	39	nmod
42	durante	ADP	44	case
43	la	DET	44	det
44	campaña	NOUN	37	obl
45	y	CCONJ	50	cc
46	los	DET	48	det
47	mayores	ADJ	48	amod
48	problemas	NOUN	50	nsubj
49	se	PRON	50	expl:pv
50	dieron	VERB	12	conj
51	con	ADP	53	case
52	la	DET	53	det
53	bajada	NOUN	50	obl
54	de	ADP	56	case
55	los	DET	56	det
56	límites	NOUN	53	nmod
57	en	ADP	58	case
58	metamidofos	NOUN	53	nmod
59	.	PUNCT	12	punct