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:
Desde el inicio de la marcha, en el triste escenario de los mayores golpes, el tema de conversación era la actuación policial y los recuerdos de guerra.
Postion	Tokenization
1	Desde
2	el
3	inicio
4	de
5	la
6	marcha
7	,
8	en
9	el
10	triste
11	escenario
12	de
13	los
14	mayores
15	golpes
16	,
17	el
18	tema
19	de
20	conversación
21	era
22	la
23	actuación
24	policial
25	y
26	los
27	recuerdos
28	de
29	guerra
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	el	DET	3	det
3	inicio	NOUN	23	obl
4	de	ADP	6	case
5	la	DET	6	det
6	marcha	NOUN	3	nmod
7	,	PUNCT	11	punct
8	en	ADP	11	case
9	el	DET	11	det
10	triste	ADJ	11	amod
11	escenario	NOUN	23	obl
12	de	ADP	15	case
13	los	DET	15	det
14	mayores	ADJ	15	amod
15	golpes	NOUN	11	nmod
16	,	PUNCT	11	punct
17	el	DET	18	det
18	tema	NOUN	23	nsubj
19	de	ADP	20	case
20	conversación	NOUN	18	nmod
21	era	AUX	23	cop
22	la	DET	23	det
23	actuación	NOUN	0	root
24	policial	ADJ	23	amod
25	y	CCONJ	27	cc
26	los	DET	27	det
27	recuerdos	NOUN	23	conj
28	de	ADP	29	case
29	guerra	NOUN	27	nmod
30	.	PUNCT	23	punct