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:
Por su parte, el número 2 en la lista al Congreso por Málaga, Manuel Atencia, tuvo un recuerdo "para todos los que durante muchos años han anhelado una victoria importante como la de hoy" y para los militantes del partido, "que habéis hecho posible este proyecto mayoritario y de gobierno".
Postion	Tokenization
1	Por
2	su
3	parte
4	,
5	el
6	número
7	2
8	en
9	la
10	lista
11	al
12	Congreso
13	por
14	Málaga
15	,
16	Manuel
17	Atencia
18	,
19	tuvo
20	un
21	recuerdo
22	"
23	para
24	todos
25	los
26	que
27	durante
28	muchos
29	años
30	han
31	anhelado
32	una
33	victoria
34	importante
35	como
36	la
37	de
38	hoy
39	"
40	y
41	para
42	los
43	militantes
44	del
45	partido
46	,
47	"
48	que
49	habéis
50	hecho
51	posible
52	este
53	proyecto
54	mayoritario
55	y
56	de
57	gobierno
58	"
59	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	su	DET	3	det
3	parte	NOUN	19	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	número	NOUN	19	nsubj
7	2	NUM	6	appos
8	en	ADP	10	case
9	la	DET	10	det
10	lista	NOUN	6	nmod
11	al	ADP	12	case
12	Congreso	PROPN	10	nmod
13	por	ADP	14	case
14	Málaga	PROPN	12	flat
15	,	PUNCT	16	punct
16	Manuel	PROPN	6	appos
17	Atencia	PROPN	16	flat
18	,	PUNCT	16	punct
19	tuvo	VERB	0	root
20	un	DET	21	det
21	recuerdo	NOUN	19	obj
22	"	PUNCT	31	punct
23	para	ADP	31	mark
24	todos	DET	25	det
25	los	DET	31	det
26	que	PRON	31	nsubj
27	durante	ADP	29	case
28	muchos	DET	29	det
29	años	NOUN	31	obl
30	han	AUX	31	aux
31	anhelado	VERB	19	advcl
32	una	DET	33	det
33	victoria	NOUN	31	obj
34	importante	ADJ	33	amod
35	como	SCONJ	36	mark
36	la	DET	33	det
37	de	ADP	36	case
38	hoy	ADV	36	advmod
39	"	PUNCT	43	punct
40	y	CCONJ	43	cc
41	para	ADP	43	case
42	los	DET	43	det
43	militantes	NOUN	31	conj
44	del	ADP	45	case
45	partido	NOUN	43	nmod
46	,	PUNCT	50	punct
47	"	PUNCT	50	punct
48	que	PRON	50	nsubj
49	habéis	AUX	50	aux
50	hecho	VERB	43	acl
51	posible	ADJ	50	obj
52	este	DET	53	det
53	proyecto	NOUN	50	obj
54	mayoritario	ADJ	53	amod
55	y	CCONJ	57	cc
56	de	ADP	57	case
57	gobierno	NOUN	54	conj
58	"	PUNCT	50	punct
59	.	PUNCT	19	punct