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:
Henry Ford, por su parte, quiso dedicarse a la política, hizo alardes de antisionismo y experimentó amargos fracasos en su afán de romper por la violencia la sindicación de sus obreros.
Postion	Tokenization
1	Henry
2	Ford
3	,
4	por
5	su
6	parte
7	,
8	quiso
9	dedicarse
10	dedicar
11	se
12	a
13	la
14	política
15	,
16	hizo
17	alardes
18	de
19	antisionismo
20	y
21	experimentó
22	amargos
23	fracasos
24	en
25	su
26	afán
27	de
28	romper
29	por
30	la
31	violencia
32	la
33	sindicación
34	de
35	sus
36	obreros
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Henry	PROPN	8	nsubj
2	Ford	PROPN	1	flat
3	,	PUNCT	6	punct
4	por	ADP	6	case
5	su	DET	6	det
6	parte	NOUN	8	obl
7	,	PUNCT	6	punct
8	quiso	VERB	0	root
9	dedicarse	_	None	_
10	dedicar	VERB	8	xcomp
11	se	PRON	9	expl:pv
12	a	ADP	13	case
13	la	DET	13	det
14	política	NOUN	9	obj
15	,	PUNCT	15	punct
16	hizo	VERB	8	advcl
17	alardes	NOUN	15	obj
18	de	ADP	18	case
19	antisionismo	NOUN	16	nmod
20	y	CCONJ	20	cc
21	experimentó	VERB	8	conj
22	amargos	ADJ	22	amod
23	fracasos	NOUN	20	obj
24	en	ADP	25	case
25	su	DET	25	det
26	afán	NOUN	20	obl
27	de	ADP	27	mark
28	romper	VERB	25	acl
29	por	ADP	30	case
30	la	DET	30	det
31	violencia	NOUN	27	obl
32	la	DET	32	det
33	sindicación	NOUN	27	obj
34	de	ADP	35	case
35	sus	DET	35	det
36	obreros	NOUN	32	nmod
37	.	PUNCT	8	punct